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Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
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inferredcites →https://doi.org/10.1001/archinte.163.12.1409openalex-snapshot
Effects of Computerized Physician Order Entry and Clinical Decision Support Systems on Medication Safety
inferredcites →https://doi.org/10.1001/archneurol.2010.215openalex-snapshot
A Serum Protein–Based Algorithm for the Detection of Alzheimer Disease
inferredcites →https://doi.org/10.1001/jama.2014.4228openalex-snapshot
Finding the Missing Link for Big Biomedical Data
inferredcites →https://doi.org/10.1001/jama.2016.17216openalex-snapshot
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
inferredcites →https://doi.org/10.1001/jama.2016.17217openalex-snapshot
Translating Artificial Intelligence Into Clinical Care
inferredcites →https://doi.org/10.1001/jama.2017.14585openalex-snapshot
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
inferredcites →https://doi.org/10.1001/jama.2017.18391openalex-snapshot
Big Data and Machine Learning in Health Care
inferredcites →https://doi.org/10.1001/jama.2017.7797openalex-snapshot
Unintended Consequences of Machine Learning in Medicine
inferredcites →https://doi.org/10.1001/jama.2018.11100openalex-snapshot
Deep Learning—A Technology With the Potential to Transform Health Care
inferredcites →https://doi.org/10.1001/jama.2018.11103openalex-snapshot
On the Prospects for a (Deep) Learning Health Care System
inferredcites →https://doi.org/10.1001/jamainternmed.2018.3763openalex-snapshot
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
inferredcites →https://doi.org/10.1001/jamanetworkopen.2018.1404openalex-snapshot
Machine Learning for Prediction in Electronic Health Data
inferredcites →https://doi.org/10.1001/jamanetworkopen.2019.8363openalex-snapshot
Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation
inferredcites →https://doi.org/10.1001/jamaoncol.2015.1203openalex-snapshot
Artificial Intelligence, Big Data, and Cancer
inferredcites →https://doi.org/10.1001/jamaoncol.2017.5449openalex-snapshot
Not Just Digital Pathology, Intelligent Digital Pathology
inferredcites →https://doi.org/10.1001/jamaophthalmol.2018.7051openalex-snapshot
Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data
inferredcites →https://doi.org/10.1002/(sici)1097-0142(19970401)79:7<1338::aid-cncr10>3.0.co;2-0openalex-snapshot
Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell lung carcinoma
inferredcites →https://doi.org/10.1002/ctm2.28openalex-snapshot
Human gene and disease associations for clinical‐genomics and precision medicine research
inferredcites →https://doi.org/10.1002/pmic.200700867openalex-snapshot
Identification of biomarkers for risk stratification of cardiovascular events using genetic algorithm with recursive local floating search
inferredcites →https://doi.org/10.1002/sim.3463openalex-snapshot
Multiple indicator hidden Markov model with an application to medical utilization data
inferredcites →https://doi.org/10.1002/sim.6526openalex-snapshot
A Naive Bayes machine learning approach to risk prediction using censored, time‐to‐event data
inferredcites →https://doi.org/10.1002/wsbm.1378openalex-snapshot
Integrated precision medicine: the role of electronic health records in delivering personalized treatment
inferredcites →https://doi.org/10.1007/0-387-34239-7openalex-snapshot
Estimation of Dependences Based on Empirical Data
inferredcites →https://doi.org/10.1007/978-3-030-16391-4_11openalex-snapshot
Artificial Intelligence and Personalized Medicine
inferredcites →https://doi.org/10.1007/978-3-642-80328-4openalex-snapshot
Applied Multivariate Statistics in Geohydrology and Related Sciences
inferredcites →https://doi.org/10.1007/s00464-007-9727-5openalex-snapshot
A consensus document on robotic surgery
inferredcites →https://doi.org/10.1007/s10278-011-9382-1openalex-snapshot
Evaluation of Novel Genetic Algorithm Generated Schemes for Positron Emission Tomography (PET)/Magnetic Resonance Imaging (MRI) Image Fusion
inferredcites →https://doi.org/10.1007/s10558-006-9013-5openalex-snapshot
A Combined FEM/Genetic Algorithm for Vascular Soft tissue Elasticity Estimation
inferredcites →https://doi.org/10.1007/s10661-016-5590-yopenalex-snapshot
The contribution of cluster and discriminant analysis to the classification of complex aquifer systems
inferredcites →https://doi.org/10.1007/s10916-005-5182-9openalex-snapshot
Combining Neural Network and Genetic Algorithm for Prediction of Lung Sounds
inferredcites →https://doi.org/10.1007/s10916-012-9913-4openalex-snapshot
A Medical Decision Support System Based on Support Vector Machines and the Genetic Algorithm for the Evaluation of Fetal Well-Being
inferredcites →https://doi.org/10.1007/s10916-014-0110-5openalex-snapshot
Developing and Using Expert Systems and Neural Networks in Medicine: A Review on Benefits and Challenges
inferredcites →https://doi.org/10.1007/s11936-019-0728-1openalex-snapshot
Artificial Intelligence in Cardiovascular Medicine
inferredcites →https://doi.org/10.1007/s12011-010-8678-1openalex-snapshot
Modeling the Relationship Between Cervical Cancer Mortality and Trace Elements Based on Genetic Algorithm–Partial Least Squares and Support Vector Machines
inferredcites →https://doi.org/10.1016/j.amepre.2015.08.031openalex-snapshot
Precision Public Health for the Era of Precision Medicine
inferredcites →https://doi.org/10.1016/j.amjmed.2016.02.037openalex-snapshot
Real-Time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality
inferredcites →https://doi.org/10.1016/j.artmed.2004.11.006openalex-snapshot
Genetic algorithm for analysis of mutations in Parkinson's disease
inferredcites →https://doi.org/10.1016/j.artmed.2013.04.002openalex-snapshot
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
inferredcites →https://doi.org/10.1016/j.artmed.2017.01.003openalex-snapshot
Editorial from the new Editor-in-Chief: Artificial Intelligence in Medicine and the forthcoming challenges
inferredcites →https://doi.org/10.1016/j.bjps.2014.10.011openalex-snapshot
Linear regression analysis of Hospital Episode Statistics predicts a large increase in demand for elective hand surgery in England
inferredcites →https://doi.org/10.1016/j.cdtm.2018.11.004openalex-snapshot
Artificial intelligence—Developments in medicine in the last two years
inferredcites →https://doi.org/10.1016/j.clinbiochem.2019.04.013openalex-snapshot
Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation
inferredcites →https://doi.org/10.1016/j.cmpb.2007.04.007openalex-snapshot
Automatic detection of the breast border and nipple position on digital mammograms using genetic algorithm for asymmetry approach to detection of microcalcifications
inferredcites →https://doi.org/10.1016/j.cmpb.2014.01.014openalex-snapshot
Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm
inferredcites →https://doi.org/10.1016/j.cmpb.2016.10.020openalex-snapshot
The application of a decision tree to establish the parameters associated with hypertension
inferredcites →https://doi.org/10.1016/j.compbiomed.2014.11.004openalex-snapshot
Computerized system for recognition of autism on the basis of gene expression microarray data
inferredcites →https://doi.org/10.1016/j.compbiomed.2015.02.006openalex-snapshot
Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values
inferredcites →https://doi.org/10.1016/j.csbj.2014.11.005openalex-snapshot
Machine learning applications in cancer prognosis and prediction
inferredcites →https://doi.org/10.1016/j.drudis.2018.10.005openalex-snapshot
Artificial intelligence and its potential in oncology
inferredcites →https://doi.org/10.1016/j.eswa.2012.02.004openalex-snapshot
Application of classification techniques on development an early-warning system for chronic illnesses
inferredcites →https://doi.org/10.1016/j.hlpt.2018.01.006openalex-snapshot
Healthcare problems cannot be solved using health technologies alone: The example of precision medicine
inferredcites →https://doi.org/10.1016/j.ijmedinf.2016.09.007openalex-snapshot
A literature review for large-scale health information system project planning, implementation and evaluation
inferredcites →https://doi.org/10.1016/j.jbi.2011.05.004openalex-snapshot
Combining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer prediction
inferredcites →https://doi.org/10.1016/j.jbi.2014.11.006openalex-snapshot
Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes
inferredcites →https://doi.org/10.1016/j.jbi.2015.06.027openalex-snapshot
PhenoPredict: A disease phenome-wide drug repositioning approach towards schizophrenia drug discovery
inferredcites →https://doi.org/10.1016/j.jbi.2017.11.013openalex-snapshot
A cloud-based framework for large-scale traditional Chinese medical record retrieval
inferredcites →https://doi.org/10.1016/j.jval.2019.03.001openalex-snapshot
Real-World Evidence, Causal Inference, and Machine Learning
inferredcites →https://doi.org/10.1016/j.kjms.2012.02.012openalex-snapshot
Estimating time to full uterine cervical dilation using genetic algorithm
inferredcites →https://doi.org/10.1016/j.mbs.2011.04.007openalex-snapshot
Robust discriminant analysis and its application to identify protein coding regions of rice genes
inferredcites →https://doi.org/10.1016/j.medengphy.2017.02.004openalex-snapshot
Detecting knee osteoarthritis and its discriminating parameters using random forests
inferredcites →https://doi.org/10.1016/j.procs.2015.10.026openalex-snapshot
Anomaly Detection in Medical Wireless Sensor Networks using Machine Learning Algorithms
inferredcites →https://doi.org/10.1016/j.procs.2015.12.145openalex-snapshot
Data Mining in Healthcare – A Review
inferredcites →https://doi.org/10.1016/j.procs.2018.05.020openalex-snapshot
Big Data and Machine Learning Based Secure Healthcare Framework
inferredcites →https://doi.org/10.1016/j.ssmph.2017.11.008openalex-snapshot
Machine learning approaches to the social determinants of health in the health and retirement study
inferredcites →https://doi.org/10.1016/s0045-7949(00)00089-4openalex-snapshot
Evaluation of crossover techniques in genetic algorithm based optimum structural design
inferredcites →https://doi.org/10.1016/s0169-7439(01)00155-1openalex-snapshot
PLS-regression: a basic tool of chemometrics
inferredcites →https://doi.org/10.1016/s1470-2045(19)30149-4openalex-snapshot
Big data and machine learning algorithms for health-care delivery
inferredcites →https://doi.org/10.1016/s1470-2045(19)30230-xopenalex-snapshot
Ethical challenges of machine learning and deep learning algorithms
inferredcites →https://doi.org/10.1017/cbo9780511809682openalex-snapshot
Kernel Methods for Pattern Analysis
inferredcites →https://doi.org/10.1017/s136898001700129xopenalex-snapshot
Behaviour change in overweight and obese pregnancy: a decision tree to support the development of antenatal lifestyle interventions
inferredcites →https://doi.org/10.1038/d41586-018-02881-7openalex-snapshot
Machine learning classifies cancer
inferredcites →https://doi.org/10.1038/nature12564openalex-snapshot
Criteria for the use of omics-based predictors in clinical trials
inferredcites →https://doi.org/10.1038/nature21056openalex-snapshot
Dermatologist-level classification of skin cancer with deep neural networks
inferredcites →https://doi.org/10.1038/nbt1206-1565openalex-snapshot
What is a support vector machine?
inferredcites →https://doi.org/10.1038/ncomms12474openalex-snapshot
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
inferredcites →https://doi.org/10.1038/nrcardio.2016.42openalex-snapshot
Big data analytics to improve cardiovascular care: promise and challenges
inferredcites →https://doi.org/10.1038/nrg.2018.4openalex-snapshot
Integrative omics for health and disease
inferredcites →https://doi.org/10.1038/nrg3433openalex-snapshot
Computational solutions for omics data
inferredcites →https://doi.org/10.1038/s41568-018-0016-5openalex-snapshot
Artificial intelligence in radiology
inferredcites →https://doi.org/10.1038/s41586-019-1799-6openalex-snapshot
International evaluation of an AI system for breast cancer screening
inferredcites →https://doi.org/10.1038/s41591-018-0300-7openalex-snapshot
High-performance medicine: the convergence of human and artificial intelligence
inferredcites →https://doi.org/10.1038/s41591-018-0307-0openalex-snapshot
The practical implementation of artificial intelligence technologies in medicine
inferredcites →https://doi.org/10.1038/s41591-018-0335-9openalex-snapshot
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
inferredcites →https://doi.org/10.1038/s41598-018-36011-0openalex-snapshot
Predicting Patient-ventilator Asynchronies with Hidden Markov Models
inferredcites →https://doi.org/10.1038/s41598-021-88807-2openalex-snapshot
COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images
inferredcites →https://doi.org/10.1038/s41746-017-0012-2openalex-snapshot
Artificial intelligence powers digital medicine
inferredcites →https://doi.org/10.1038/s41746-018-0029-1openalex-snapshot
Scalable and accurate deep learning with electronic health records
inferredcites →https://doi.org/10.1038/s41746-019-0105-1openalex-snapshot
Deep learning predicts hip fracture using confounding patient and healthcare variables
inferredcites →https://doi.org/10.1038/s42003-019-0440-4openalex-snapshot
Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data
inferredcites →https://doi.org/10.1038/srep37854openalex-snapshot
MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine
inferredcites →https://doi.org/10.1046/j.1365-2648.2001.01851.xopenalex-snapshot
Decision making for health care professionals: use of decision trees within the community mental health setting
inferredcites →https://doi.org/10.1055/s-0038-1628137openalex-snapshot
On Educating about Medical Data Management
inferredcites →https://doi.org/10.1056/nejmp1714229openalex-snapshot
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
inferredcites →https://doi.org/10.1073/pnas.57.3.580openalex-snapshot
PROBABILISTIC FUNCTIONS OF FINITE-STATE MARKOV CHAINS
inferredcites →https://doi.org/10.1080/00031305.1992.10475879openalex-snapshot
An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
inferredcites →https://doi.org/10.1080/01621459.2017.1319839openalex-snapshot
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
inferredcites →https://doi.org/10.1080/0309190042000274513openalex-snapshot
A new approach to detect QRS complexes based on a histogram and genetic algorithm
inferredcites →https://doi.org/10.1080/13645700009169652openalex-snapshot
Image recognition and neuronal networks: Intelligent systems for the improvement of imaging information
inferredcites →https://doi.org/10.1080/13645706.2019.1575882openalex-snapshot
Introduction to artificial intelligence in medicine
inferredcites →https://doi.org/10.1080/17434440.2017.1300057openalex-snapshot
Cardiac imaging: working towards fully-automated machine analysis & interpretation
inferredcites →https://doi.org/10.1080/23808993.2017.1380516openalex-snapshot
The role of artificial intelligence in precision medicine
inferredcites →https://doi.org/10.1080/23808993.2019.1585805openalex-snapshot
Deep learning and radiomics in precision medicine
inferredcites →https://doi.org/10.1089/aid.2004.20.1314openalex-snapshot
Mutation, Fitness, Viral Diversity, and Predictive Markers of Disease Progression in a Computational Model of HIV Type 1 Infection
inferredcites →https://doi.org/10.1090/s0002-9904-1967-11751-8openalex-snapshot
An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
inferredcites →https://doi.org/10.1093/annonc/mdx781openalex-snapshot
Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
inferredcites →https://doi.org/10.1093/annonc/mdy166openalex-snapshot
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
inferredcites →https://doi.org/10.1093/bib/bbv032openalex-snapshot
A primer on precision medicine informatics
inferredcites →https://doi.org/10.1093/bib/bbv060openalex-snapshot
Problems, challenges and promises: perspectives on precision medicine
inferredcites →https://doi.org/10.1093/bib/bbx086openalex-snapshot
Big data management challenges in health research—a literature review
inferredcites →https://doi.org/10.1093/bib/bbz038openalex-snapshot
100 Years of evolving gene–disease complexities and scientific debutants
inferredcites →https://doi.org/10.1093/bjaceaccp/mkn033openalex-snapshot
Severity scoring systems in the critically ill
inferredcites →https://doi.org/10.1093/database/baw118openalex-snapshot
Mining biomedical images towards valuable information retrieval in biomedical and life sciences
inferredcites →https://doi.org/10.1093/database/baw134openalex-snapshot
Mining biomedical images towards valuable information retrieval in biomedical and life sciences
inferredcites →https://doi.org/10.1093/jamia/ocw112openalex-snapshot
Using recurrent neural network models for early detection of heart failure onset
inferredcites →https://doi.org/10.1093/jamia/ocw142openalex-snapshot
MeSHDD: Literature-based drug-drug similarity for drug repositioning
inferredcites →https://doi.org/10.1093/jamia/ocw154openalex-snapshot
Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review
inferredcites →https://doi.org/10.1093/jamia/ocx133openalex-snapshot
3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data
inferredcites →https://doi.org/10.1093/jamiaopen/ooy052openalex-snapshot
MAV-clic: management, analysis, and visualization of clinical data
inferredcites →https://doi.org/10.1093/pm/pnw096openalex-snapshot
Using Random Forest Models to Identify Correlates of a Diabetic Peripheral Neuropathy Diagnosis from Electronic Health Record Data
inferredcites →https://doi.org/10.1097/00002820-199504000-00004openalex-snapshot
Decision tree model describing alternate health care choices made by oncology patients
inferredcites →https://doi.org/10.1097/00007691-199902000-00008openalex-snapshot
Prediction of Tacrolimus Blood Levels by Using the Neural Network with Genetic Algorithm in Liver Transplantation Patients
inferredcites →https://doi.org/10.1097/mlr.0b013e31829b1dbdopenalex-snapshot
Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research
inferredcites →https://doi.org/10.1098/rsif.2017.0885openalex-snapshot
Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data
inferredcites →https://doi.org/10.1098/rsta.2017.0350openalex-snapshot
Machine learning and genomics: precision medicine versus patient privacy
inferredcites →https://doi.org/10.1109/34.709601openalex-snapshot
The random subspace method for constructing decision forests
inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot
A tutorial on hidden Markov models and selected applications in speech recognition
inferredcites →https://doi.org/10.1109/embc.2013.6610766openalex-snapshot
Combining genetic algorithm and Levenberg-Marquardt algorithm in training neural network for hypoglycemia detection using EEG signals
inferredcites →https://doi.org/10.1109/iembs.2009.5332468openalex-snapshot
Fuzzy naive bayesian model for medical diagnostic decision support
inferredcites →https://doi.org/10.1109/iembs.2011.6090296openalex-snapshot
Trajectory planning of a robot for lower limb rehabilitation
inferredcites →https://doi.org/10.1111/j.1600-6143.2010.03141.xopenalex-snapshot
Recommendations for the Assessment and Reporting of Multivariable Logistic Regression in Transplantation Literature
inferredcites →https://doi.org/10.1115/1.1503375openalex-snapshot
Genetic Algorithm–Neural Network Estimation of Cobb Angle from Torso Asymmetry in Scoliosis
inferredcites →https://doi.org/10.1118/1.597951openalex-snapshot
Decision theoretic steering and genetic algorithm optimization: Application to stereotactic radiosurgery treatment planning
inferredcites →https://doi.org/10.1126/scitranslmed.aaa9364openalex-snapshot
Identification of type 2 diabetes subgroups through topological analysis of patient similarity
inferredcites →https://doi.org/10.1126/scitranslmed.aab3719openalex-snapshot
A targeted real-time early warning score (TREWScore) for septic shock
inferredcites →https://doi.org/10.1136/amiajnl-2011-000101openalex-snapshot
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data
inferredcites →https://doi.org/10.1136/bmj.326.7398.1083openalex-snapshot
Effect of regression to the mean on decision making in health care
inferredcites →https://doi.org/10.1136/bmj.39609.449676.25openalex-snapshot
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2
inferredcites →https://doi.org/10.1136/bmj.i2139openalex-snapshot
Medical error—the third leading cause of death in the US
inferredcites →https://doi.org/10.1136/bmjgh-2018-000798openalex-snapshot
Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?
inferredcites →https://doi.org/10.1136/bmjopen-2018-025925openalex-snapshot
Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK
inferredcites →https://doi.org/10.1136/bmjqs-2018-008370openalex-snapshot
Artificial intelligence, bias and clinical safety
inferredcites →https://doi.org/10.1136/jamia.2000.0070246openalex-snapshot
Solutions to Challenges Facing a University Digital Library and Press
inferredcites →https://doi.org/10.1136/svn-2017-000101openalex-snapshot
Artificial intelligence in healthcare: past, present and future
inferredcites →https://doi.org/10.1146/annurev-bioeng-071516-044442openalex-snapshot
Deep Learning in Medical Image Analysis
inferredcites →https://doi.org/10.1148/radiol.2017162664openalex-snapshot
Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging
inferredcites →https://doi.org/10.1148/radiol.2019190613openalex-snapshot
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
inferredcites →https://doi.org/10.1155/2012/876545openalex-snapshot
Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer
inferredcites →https://doi.org/10.1155/2018/4073103openalex-snapshot
Privacy Preserving k-Nearest Neighbor for Medical Diagnosis in e-Health Cloud
inferredcites →https://doi.org/10.1161/circulationaha.115.001593openalex-snapshot
Machine Learning in Medicine
inferredcites →https://doi.org/10.1161/strokeaha.116.016281openalex-snapshot
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
inferredcites →https://doi.org/10.11613/bm.2009.011openalex-snapshot
The odds ratio: calculation, usage, and interpretation
inferredcites →https://doi.org/10.11613/bm.2014.003openalex-snapshot
Understanding logistic regression analysis
inferredcites →https://doi.org/10.1177/0300060518777173openalex-snapshot
Differential analysis of disease risk assessment using binary logistic regression with different analysis strategies
inferredcites →https://doi.org/10.1177/0840470419846134openalex-snapshot
Intelligent health data analytics: A convergence of artificial intelligence and big data
inferredcites →https://doi.org/10.1177/117693510600200030openalex-snapshot
Applications of Machine Learning in Cancer Prediction and Prognosis
inferredcites →https://doi.org/10.1186/1471-2105-15-105openalex-snapshot
dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text
inferredcites →https://doi.org/10.1186/1471-2458-14-1144openalex-snapshot
A systematic review of barriers to data sharing in public health
inferredcites →https://doi.org/10.1186/1472-6947-11-51openalex-snapshot
Predicting disease risks from highly imbalanced data using random forest
inferredcites →https://doi.org/10.1186/1472-6947-14-91openalex-snapshot
Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model
inferredcites →https://doi.org/10.1186/1478-4491-6-2openalex-snapshot
Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns
inferredcites →https://doi.org/10.1186/2047-2501-2-3openalex-snapshot
Big data analytics in healthcare: promise and potential
inferredcites →https://doi.org/10.1186/s12874-019-0681-4openalex-snapshot
Machine learning in medicine: a practical introduction
inferredcites →https://doi.org/10.1186/s12911-017-0407-7openalex-snapshot
The CRISP colorectal cancer risk prediction tool: an exploratory study using simulated consultations in Australian primary care
inferredcites →https://doi.org/10.1186/s12911-017-0575-5openalex-snapshot
Monitoring prescribing patterns using regression and electronic health records
inferredcites →https://doi.org/10.1186/s12911-019-0825-9openalex-snapshot
Decision tree–based classifier in providing telehealth service
inferredcites →https://doi.org/10.1186/s12911-019-0840-xopenalex-snapshot
Patient decision aids: a content analysis based on a decision tree structure
inferredcites →https://doi.org/10.1186/s12913-018-3359-4openalex-snapshot
Will artificial intelligence solve the human resource crisis in healthcare?
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles
inferred← citeshttps://doi.org/10.1007/s10470-025-02480-3openalex-snapshot
A design methodology for analog integrated artificial neural networks circuits: architectures, design and training
inferred← citeshttps://doi.org/10.1007/s10470-025-02481-2openalex-snapshot
An analog ReLu-based decision tree circuit architecture for biomedical applications
inferred← citeshttps://doi.org/10.1007/s10489-021-02264-yopenalex-snapshot
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
inferred← citeshttps://doi.org/10.1007/s10586-022-03707-yopenalex-snapshot
Popular deep learning algorithms for disease prediction: a review
inferred← citeshttps://doi.org/10.1007/s10586-024-04721-yopenalex-snapshot
Chaotic quasi-opposition marine predator algorithm for automatic data clustering
inferred← citeshttps://doi.org/10.1007/s10916-024-02089-5openalex-snapshot
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s10961-024-10100-xopenalex-snapshot
AI and medical imaging technology: evolution, impacts, and economic insights
inferred← citeshttps://doi.org/10.1007/s11030-021-10326-zopenalex-snapshot
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
inferred← citeshttps://doi.org/10.1007/s11051-025-06293-3openalex-snapshot
Scaling nanopharmaceutical production for personalized medicine: challenges and strategies
inferred← citeshttps://doi.org/10.1007/s11227-025-07076-2openalex-snapshot
MFC-PPI: protein–protein interaction prediction with multimodal feature fusion and contrastive learning
inferred← citeshttps://doi.org/10.1007/s11517-022-02630-zopenalex-snapshot
GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
inferred← citeshttps://doi.org/10.1007/s11831-022-09818-4openalex-snapshot
Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s11831-023-09989-8openalex-snapshot
Analysis of Deep Learning Techniques for Prediction of Eye Diseases: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s11831-023-10003-4openalex-snapshot
Review on Mechanobiological Analysis and Computational Study of Human Tissue (Soft and Hard) Using Machine Learning Techniques: A Mechanical Perspective
inferred← citeshttps://doi.org/10.1007/s11831-025-10309-5openalex-snapshot
Advancements in Hybrid Machine Learning Models for Biomedical Disease Classification Using Integration of Hyperparameter-Tuning and Feature Selection Methodologies: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s12035-026-06227-7openalex-snapshot
The Gut Microbiota–Epilepsy Axis: Bibliometric Trends, Mechanistic Insights, and Microbiota-Targeted Next-Generation Therapeutic Opportunities
inferred← citeshttps://doi.org/10.1007/s12062-026-09543-xopenalex-snapshot
The Prediction of Fall Risks in Older Adults: The Analysis of Machine Learning Algorithms and Feature Selections
inferred← citeshttps://doi.org/10.1007/s12155-025-10864-6openalex-snapshot
Integrating Automation in Biomass Transformation: Opportunities, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s12519-026-01038-1openalex-snapshot
Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation
inferred← citeshttps://doi.org/10.1007/s12551-025-01286-xopenalex-snapshot
Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins
inferred← citeshttps://doi.org/10.1007/s12559-023-10192-xopenalex-snapshot
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s12668-025-01980-wopenalex-snapshot
Artificial Intelligence-Assisted Design of Nanomedicines for Breast Cancer Diagnosis and Therapy: Advances, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s12672-024-01643-4openalex-snapshot
Circadian rhythms and cancer: implications for timing in therapy
inferred← citeshttps://doi.org/10.1007/s12672-025-02469-4openalex-snapshot
The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations—a narrative review
inferred← citeshttps://doi.org/10.1007/s13198-025-02965-4openalex-snapshot
Hybrid recommender system for personalized healthcare: integration of content-based and collaborative filtering approaches
inferred← citeshttps://doi.org/10.1007/s13198-025-02968-1openalex-snapshot
Assessment of AI models in healthcare: performance metrics and applications across critical diseases
inferred← citeshttps://doi.org/10.1007/s13721-025-00664-5openalex-snapshot
MedRecommenderX: a scalable sentiment-aware framework for personalized drug recommendations
inferred← citeshttps://doi.org/10.1007/s13721-026-00889-yopenalex-snapshot
Machine learning-enabled mental health prediction in youth: A structured narrative synthesis
inferred← citeshttps://doi.org/10.1007/s40171-023-00356-xopenalex-snapshot
Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature
inferred← citeshttps://doi.org/10.1007/s40495-025-00413-2openalex-snapshot
Unravelling the Role of Biomarker in Cancer Detection: An In-Depth Review
inferred← citeshttps://doi.org/10.1007/s40501-024-00326-9openalex-snapshot
Machine Learning as a Tool to Find New Pharmacological Targets in Mood Disorders: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s41101-025-00407-7openalex-snapshot
Smart Water Management for SDG 6: A Review of AI and IoT-Enabled Solutions
inferred← citeshttps://doi.org/10.1007/s42452-025-06944-zopenalex-snapshot
Predictive analysis of heart disease using quantum-assisted machine learning
inferred← citeshttps://doi.org/10.1007/s42452-026-08249-1openalex-snapshot
Artificial intelligence integration in materials science
inferred← citeshttps://doi.org/10.1007/s42519-021-00193-0openalex-snapshot
A Statistician Teaches Deep Learning
inferred← citeshttps://doi.org/10.1007/s42791-025-00112-5openalex-snapshot
AI-powered image standardization in microphysiological system platforms
inferred← citeshttps://doi.org/10.1007/s42979-025-03900-xopenalex-snapshot
Deep Learning Framework for Breast Cancer Detection and Segmentation Using EfficientNet and U-Net with Hyperparameter Optimization
inferred← citeshttps://doi.org/10.1007/s42979-026-05026-0openalex-snapshot
Liver Disease Diagnosis: Fuzzy c-means and Scoring Ranking Approach
inferred← citeshttps://doi.org/10.1007/s43032-024-01655-zopenalex-snapshot
Machine Learning for Predicting Stillbirth: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s43032-026-02052-4openalex-snapshot
AI in Childbirth and Emerging Alternatives to Traditional Fertility Treatments
inferred← citeshttps://doi.org/10.1007/s43465-024-01189-1openalex-snapshot
Artificial Intelligence (AI): A Potential Game Changer in Regenerative Orthopedics—A Scoping Review
inferred← citeshttps://doi.org/10.1007/s43926-025-00252-zopenalex-snapshot
Fundamentals applications of blockchain impact on intelligent healthcare systems
inferred← citeshttps://doi.org/10.1007/s43926-026-00311-zopenalex-snapshot
AI-agent–empowered edge–IoT framework for personalized health adaptation in special population networks
inferred← citeshttps://doi.org/10.1007/s44163-024-00161-0openalex-snapshot
RETRACTED ARTICLE: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
inferred← citeshttps://doi.org/10.1007/s44163-026-01177-4openalex-snapshot
A scoping review on remote patient monitoring technologies
inferred← citeshttps://doi.org/10.1007/s44163-026-01325-wopenalex-snapshot
A hybrid filter-based genes selection stochastic model for cancer prediction and classification based on gene expression data
inferred← citeshttps://doi.org/10.1007/s44174-025-00493-0openalex-snapshot
Artificial Intelligence: An Innovative Tool for the Drug Development and Drug Delivery System
inferred← citeshttps://doi.org/10.1007/s44258-024-00043-1openalex-snapshot
Artificial intelligence on biomedical signals: technologies, applications, and future directions
inferred← citeshttps://doi.org/10.1016/b978-0-12-818662-6.00005-4openalex-snapshot
Decoding nociception in the spinal cord: Computer modeling and machine learning
inferred← citeshttps://doi.org/10.1016/b978-0-12-818731-9.00095-1openalex-snapshot
Metabolomics of Infectious Disease
inferred← citeshttps://doi.org/10.1016/b978-0-12-821777-1.00022-7openalex-snapshot
Machine learning in expert systems for disease diagnostics in human healthcare
inferred← citeshttps://doi.org/10.1016/b978-0-323-90032-4.00020-1openalex-snapshot
Artificial neural network modeling of systems biology datasets fit based on Mittag-Leffler functions with heavy-tailed distributions for diagnostic and predictive precision medicine
inferred← citeshttps://doi.org/10.1016/b978-0-323-91819-0.00005-1openalex-snapshot
Multi-omics/genomics in predictive and personalized medicine
inferred← citeshttps://doi.org/10.1016/b978-0-443-13963-5.00012-1openalex-snapshot
Artificial intelligence and personalized medicine: transforming patient care
inferred← citeshttps://doi.org/10.1016/b978-0-443-15999-2.00012-8openalex-snapshot
Introduction to intelligent techniques and applications
inferred← citeshttps://doi.org/10.1016/b978-0-443-18509-0.00010-4openalex-snapshot
Survival estimation of brain tumor patients using radiogenomics-based studies
inferred← citeshttps://doi.org/10.1016/b978-0-443-19413-9.00002-3openalex-snapshot
The future of health diagnosis and treatment: an exploration of deep learning frameworks and innovative applications
inferred← citeshttps://doi.org/10.1016/b978-0-443-21592-6.00026-4openalex-snapshot
Biosensors for targeted therapeutics
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