On the public citation graph

Intelligent health data analytics: A convergence of artificial intelligence and big data

https://doi.org/10.1177/0840470419846134
0 signed · 87 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2013.393openalex-snapshot
The Inevitable Application of Big Data to Health Care
inferredcites →https://doi.org/10.1001/jama.2015.18421openalex-snapshot
Machine Learning and the Profession of Medicine
inferredcites →https://doi.org/10.1001/jama.2016.17217openalex-snapshot
Translating Artificial Intelligence Into Clinical Care
inferredcites →https://doi.org/10.1007/978-3-540-78624-5_1openalex-snapshot
Healthcare Knowledge Management: The Art of the Possible
inferredcites →https://doi.org/10.1007/s10916-017-0841-1openalex-snapshot
A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions
inferredcites →https://doi.org/10.1007/s41666-018-0028-7openalex-snapshot
A Data Mining Framework for Glaucoma Decision Support Based on Optic Nerve Image Analysis Using Machine Learning Methods
inferredcites →https://doi.org/10.1016/j.knosys.2017.07.008openalex-snapshot
Possibilistic activity recognition with uncertain observations to support medication adherence in an assisted ambient living setting
inferredcites →https://doi.org/10.1016/s0140-6736(18)30312-xopenalex-snapshot
Origins of lifetime health around the time of conception: causes and consequences
inferredcites →https://doi.org/10.1016/s1386-5056(01)00167-8openalex-snapshot
Knowledge management in healthcare: towards ‘knowledge-driven’ decision-support services
inferredcites →https://doi.org/10.1056/nejmp0904131openalex-snapshot
A Strategy for Health Care Reform — Toward a Value-Based System
inferredcites →https://doi.org/10.1056/nejmp1207437openalex-snapshot
Getting the Methods Right — The Foundation of Patient-Centered Outcomes Research
inferredcites →https://doi.org/10.1056/nejmp1606181openalex-snapshot
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
inferredcites →https://doi.org/10.1109/bigdatacongress.2015.68openalex-snapshot
H-DRIVE: A Big Health Data Analytics Platform for Evidence-Informed Decision Making
inferredcites →https://doi.org/10.1109/bigdataservice.2015.13openalex-snapshot
Towards a 'Big' Health Data Analytics Platform
inferredcites →https://doi.org/10.1109/jbhi.2014.2377517openalex-snapshot
A Predictive Model for Personalized Therapeutic Interventions in Non-small Cell Lung Cancer
inferredcites →https://doi.org/10.1109/mis.2014.45openalex-snapshot
Healthcare Intelligence: Turning Data into Knowledge
inferredcites →https://doi.org/10.1136/bmjqs-2017-007226openalex-snapshot
Quick and dirty? A systematic review of the use of rapid ethnographies in healthcare organisation and delivery
inferredcites →https://doi.org/10.1136/svn-2017-000101openalex-snapshot
Artificial intelligence in healthcare: past, present and future
inferredcites →https://doi.org/10.1186/s13040-017-0123-yopenalex-snapshot
Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support
inferredcites →https://doi.org/10.1371/journal.pone.0088225openalex-snapshot
Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy
inferredcites →https://doi.org/10.1377/hlthaff.2014.0041openalex-snapshot
Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
inferredcites →https://doi.org/10.4338/aci-2016-11-ra-0195openalex-snapshot
Development of Multivariable Models to Predict and Benchmark Transfusion in Elective Surgery Supporting Patient Blood Management

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4670219openalex-extracted
inferred← citeshttps://doi.org/10.1002/nop2.2070openalex-snapshot
Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future
inferred← citeshttps://doi.org/10.1007/978-3-031-70959-3_18openalex-snapshot
Investigating the Management of Datasets Featuring Elevated Dimensionality and a Restricted Patient Sample
inferred← citeshttps://doi.org/10.1007/978-3-031-76152-2_2openalex-snapshot
Healthcare Reimagined: The Impact of AI on Data Analytics
inferred← citeshttps://doi.org/10.1007/978-981-15-8534-0_3openalex-snapshot
Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks
inferred← citeshttps://doi.org/10.1007/978-981-16-0415-7_15openalex-snapshot
Smart Healthcare: Using IoT and Machine Learning-Based Analytics
inferred← citeshttps://doi.org/10.1007/978-981-96-2548-2_16openalex-snapshot
Demystifying Hospital Experiences via Online Reviews Beyond Star Ratings: An Aspect-Based Mining of Online Reviews
inferred← citeshttps://doi.org/10.1007/978-981-99-1949-9_8openalex-snapshot
Impression of Big Data Analytics and Artificial Intelligence for Healthcare—A Study
inferred← citeshttps://doi.org/10.1007/s42979-022-01507-0openalex-snapshot
Data Analytics in Healthcare: A Tertiary Study
inferred← citeshttps://doi.org/10.1016/b978-0-323-99124-7.00002-xopenalex-snapshot
Machine learning, artificial intelligence technologies, and rehabilitation
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105263openalex-snapshot
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111576openalex-snapshot
IoHT in Healthcare 4.0: Architectures, AI-driven analytics, and security challenges for technology-driven patient care
inferred← citeshttps://doi.org/10.1016/j.crbiot.2023.100164openalex-snapshot
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
inferred← citeshttps://doi.org/10.1016/j.jhqr.2019.07.012openalex-snapshot
Inteligencia artificial en asistencia sanitaria. ¿Están protegidos los derechos de los pacientes?
inferred← citeshttps://doi.org/10.1016/j.smhl.2022.100279openalex-snapshot
Emerging point of care devices and artificial intelligence: Prospects and challenges for public health
inferred← citeshttps://doi.org/10.1016/j.survophthal.2024.07.006openalex-snapshot
Role of inflammation in diabetic macular edema and neovascular age-related macular degeneration
inferred← citeshttps://doi.org/10.1053/j.semvascsurg.2021.08.003openalex-snapshot
A look to the future: Pandemic-induced digital technologies in vascular surgery
inferred← citeshttps://doi.org/10.1080/1744666x.2022.2017773openalex-snapshot
Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions
inferred← citeshttps://doi.org/10.1080/17538947.2020.1743785openalex-snapshot
Big Earth Data science: an information framework for a sustainable planet
inferred← citeshttps://doi.org/10.1093/database/baaa010openalex-snapshot
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
inferred← citeshttps://doi.org/10.1108/tqm-10-2019-0245openalex-snapshot
Debunking the myth of industry 4.0 in health care: insights from a systematic literature review
inferred← citeshttps://doi.org/10.1108/tqm-10-2024-0394openalex-snapshot
AI chatbots for healthcare maintenance: transforming total productive maintenance in the Industry 5.0 era
inferred← citeshttps://doi.org/10.1109/cict64037.2024.10899631openalex-snapshot
Aspect-Based Opinion Mining of Patient Experiences in Indian Hospitals: Impact of Healthcare Aspects on Ratings and Customer Experience
inferred← citeshttps://doi.org/10.1109/frse58934.2023.00043openalex-snapshot
Intelligent Java Dataset Construction and Visualization Evaluation for Reliable Software Development
inferred← citeshttps://doi.org/10.1145/3613905.3650846openalex-snapshot
Artificial Intelligence Systems for Supporting Informal Caregivers of People Living with Alzheimer's Disease or Related Dementias: A Systematic Review
inferred← citeshttps://doi.org/10.1155/adph/2190224openalex-snapshot
Advancing Public Health Surveillance With Artificial Intelligence: A Systematic Review of Real‐Time Data Analytics and Disease Prediction
inferred← citeshttps://doi.org/10.11591/ijece.v13i4.pp4306-4316openalex-snapshot
Big data analytics and internet of things for personalised healthcare: opportunities and challenges
inferred← citeshttps://doi.org/10.11603/mie.1996-1960.2019.3.10429openalex-snapshot
ПЕРСПЕКТИВИ ТА ПРОБЛЕМИ ВИКОРИСТАННЯ ТЕХНОЛОГІЙ BIG DATA В МЕДИЦИНІ
inferred← citeshttps://doi.org/10.1177/2472630319890316openalex-snapshot
CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence
inferred← citeshttps://doi.org/10.1186/s13643-022-01984-7openalex-snapshot
Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities
inferred← citeshttps://doi.org/10.1201/9781003045564-21openalex-snapshot
A Hypothetical Study in Biomedical Based Artificial Intelligence Systems Using Machine Language (ML) Rudiments
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140341openalex-snapshot
Balancing Technological Advances with User Needs: User-centered Principles for AI-Driven Smart City Healthcare Monitoring
inferred← citeshttps://doi.org/10.1515/jib-2020-0035openalex-snapshot
Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology
inferred← citeshttps://doi.org/10.1515/jpm-2024-0122openalex-snapshot
Deep learning based detection and classification of fetal lip in ultrasound images
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2533285/v1openalex-snapshot
Data mining of customer reviews to analyse the consumer experience in hospitals
inferred← citeshttps://doi.org/10.2147/rmhp.s309732openalex-snapshot
Construct a Knowledge Graph for China Coronavirus (COVID-19) Patient Information Tracking
inferred← citeshttps://doi.org/10.2196/18948openalex-snapshot
Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China
inferred← citeshttps://doi.org/10.22529/me.2021.6(1)07openalex-snapshot
La inteligencia artificial en la educación médica y la predicción en salud
inferred← citeshttps://doi.org/10.23889/ijpds.v9i1.2370openalex-snapshot
Public sector health analytics capacity before and after Covid-19: A case study of manager perspectives in New Brunswick, Canada
inferred← citeshttps://doi.org/10.23939/sisn2024.16.133openalex-snapshot
Information System of Semi-supervised Learning for Analysis of Data Samples With High Dimensions
inferred← citeshttps://doi.org/10.26634/jse.15.3.18254openalex-snapshot
A Review On Data Mining And Big Data Analytics For Healthcare Solutions
inferred← citeshttps://doi.org/10.30574/wjarr.2024.24.3.3909openalex-snapshot
The role of predictive analytics in enhancing public health surveillance: Proactive and data-driven interventions
inferred← citeshttps://doi.org/10.30872/jtpc.vi.291openalex-snapshot
The Role of Data Analytics in Optimizing Hospital Resource Allocation and Decision-making
inferred← citeshttps://doi.org/10.3389/fneph.2023.1266967openalex-snapshot
Dialysis resource allocation in critical care: the impact of the COVID-19 pandemic and the promise of big data analytics
inferred← citeshttps://doi.org/10.3389/fneur.2023.1263291openalex-snapshot
A data-driven approach to categorize patients with traumatic spinal cord injury: cluster analysis of a multicentre database
inferred← citeshttps://doi.org/10.3390/electronics14122459openalex-snapshot
Modelling Key Health Indicators from Sensor Data Using Knowledge Graphs and Fuzzy Logic
inferred← citeshttps://doi.org/10.3390/healthcare12232330openalex-snapshot
The Frontiers of Smart Healthcare Systems
inferred← citeshttps://doi.org/10.3390/s24165321openalex-snapshot
Predicting the Healing of Lower Extremity Fractures Using Wearable Ground Reaction Force Sensors and Machine Learning
inferred← citeshttps://doi.org/10.3390/su12125118openalex-snapshot
The Organizational Aspect of Human Resource Management as a Determinant of the Potential of Polish Hospitals to Manage Medical Professionals in Healthcare 4.0
inferred← citeshttps://doi.org/10.35366/122676openalex-snapshot
Inteligencia artificial en los servicios de urgencias: entre la promesa y la responsabilidad
inferred← citeshttps://doi.org/10.37256/aie.4220232980openalex-snapshot
Integrating Artificial Intelligence and Big Data into Smart Healthcare Systems: A Comprehensive Review of Current Practices and Future Directions
inferred← citeshttps://doi.org/10.4018/979-8-3693-6180-1.ch003openalex-snapshot
Smart Healthcare System and Internet of Medical Things
inferred← citeshttps://doi.org/10.4108/eetpht.9.4292openalex-snapshot
Big data-analysis, map reduced framework, security & privacy challenges and techniques in health sector
inferred← citeshttps://doi.org/10.4274/anatoljmed.2025.20082openalex-snapshot
Horizoning the Convergence of Artificial Intelligence and Healthcare: An Exploratory Analysis Using Latent Semantic Analysis
inferred← citeshttps://doi.org/10.4321/s0465-546x2024000100001openalex-snapshot
La inteligencia artificial y la salud laboral
inferred← citeshttps://doi.org/10.51483/ijdsbda.3.2.2023.1-18openalex-snapshot
Visualizing Health: Advancing Natural Language Processing Through Data Visualization in Healthcare
inferred← citeshttps://doi.org/10.52731/liir.v004.166openalex-snapshot
Evaluating the Performance of Machine Learning Classifiers on Predicting Hypothyroidism for Public Healthcare Good
inferred← citeshttps://doi.org/10.54361/ajmas.247323openalex-snapshot
Artificial Intelligence Applications in Healthcare
inferred← citeshttps://doi.org/10.5772/intechopen.107725openalex-snapshot
Deep Learning - Recent Findings and Research
inferred← citeshttps://doi.org/10.5772/intechopen.112371openalex-snapshot
Deep Neural Networks and Applications in Medical Research
inferred← citeshttps://doi.org/10.58252/artukluhealth.1756166openalex-snapshot
Artificial Intelligence in Healthcare Management: Leadership Transformation and Strategic Directions
inferred← citeshttps://doi.org/10.6084/m9.figshare.20168147openalex-snapshot
Additional file 1 of Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities
inferred← citeshttps://doi.org/10.69473/iasr.2025.28.1.88openalex-snapshot
Digital Transformation in Healthcare During the COVID-19 Pandemic: Insights from Saudi Arabian Healthcare Managers
inferred← citeshttps://doi.org/10.70389/pjph.100004openalex-snapshot
The Intersection of Technology and Health Economics: Innovations and Challenges
inferred← citeshttps://doi.org/10.7759/cureus.60318openalex-snapshot
Does the Information Quality of ChatGPT Meet the Requirements of Orthopedics and Trauma Surgery?
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.