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Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bmc.4132openalex-snapshot
Chromatographic analysis of VOC patterns in exhaled breath from smokers and nonsmokers
inferredcites →https://doi.org/10.1002/bmc.835openalex-snapshot
Human exhaled air analytics: biomarkers of diseases
inferredcites →https://doi.org/10.1007/978-1-4614-7138-7openalex-snapshot
An Introduction to Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-540-30115-8_7openalex-snapshot
Applying Support Vector Machines to Imbalanced Datasets
inferredcites →https://doi.org/10.1007/978-3-642-13923-9_6openalex-snapshot
Diabetes Identification and Classification by Means of a Breath Analysis System
inferredcites →https://doi.org/10.1007/978-3-642-20847-8_29openalex-snapshot
Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets
inferredcites →https://doi.org/10.1007/978-981-10-4322-2openalex-snapshot
Breath Analysis for Medical Applications
inferredcites →https://doi.org/10.1007/s00216-014-8401-8openalex-snapshot
Determination of breath acetone in 149 Type 2 diabetic patients using a ringdown breath-acetone analyzer
inferredcites →https://doi.org/10.1007/s00340-011-4716-8openalex-snapshot
Ethylene and ammonia traces measurements from the patients’ breath with renal failure via LPAS method
inferredcites →https://doi.org/10.1007/s40708-017-0065-7openalex-snapshot
Machine learning–XGBoost analysis of language networks to classify patients with epilepsy
inferredcites →https://doi.org/10.1016/0140-6736(91)91569-gopenalex-snapshot
High breath pentane concentrations during acute myocardial infarction
inferredcites →https://doi.org/10.1016/j.aca.2004.12.018openalex-snapshot
Determination of acetone in breath
inferredcites →https://doi.org/10.1016/j.anai.2011.02.016openalex-snapshot
Human exhaled breath analysis
inferredcites →https://doi.org/10.1016/j.chroma.2013.05.012openalex-snapshot
Detection of potential chronic kidney disease markers in breath using gas chromatography with mass-spectral detection coupled with thermal desorption method
inferredcites →https://doi.org/10.1016/j.clinms.2018.02.003openalex-snapshot
Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath
inferredcites →https://doi.org/10.1016/j.compbiomed.2018.04.002openalex-snapshot
Early non-invasive detection of breast cancer using exhaled breath and urine analysis
inferredcites →https://doi.org/10.1016/j.critrevonc.2012.11.007openalex-snapshot
Diagnosis of breast cancer based on breath analysis: An emerging method
inferredcites →https://doi.org/10.1016/j.diabres.2012.02.006openalex-snapshot
The clinical potential of exhaled breath analysis for diabetes mellitus
inferredcites →https://doi.org/10.1016/j.envpol.2021.117410openalex-snapshot
Blood, urine and semen Volatile Organic Compound (VOC) pattern analysis for assessing health environmental impact in highly polluted areas in Italy
inferredcites →https://doi.org/10.1016/j.imu.2019.100254openalex-snapshot
Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment
inferredcites →https://doi.org/10.1016/j.jchromb.2009.06.039openalex-snapshot
Breath acetone analysis with miniaturized sample preparation device: In-needle preconcentration and subsequent determination by gas chromatography–mass spectroscopy
inferredcites →https://doi.org/10.1016/j.neucom.2013.05.059openalex-snapshot
A method for resampling imbalanced datasets in binary classification tasks for real-world problems
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1016/j.snb.2017.10.178openalex-snapshot
Exhaled breath analysis using electronic nose and gas chromatography–mass spectrometry for non-invasive diagnosis of chronic kidney disease, diabetes mellitus and healthy subjects
inferredcites →https://doi.org/10.1016/j.snb.2019.127371openalex-snapshot
Measurement of temperature and relative humidity in exhaled breath
inferredcites →https://doi.org/10.1016/j.talanta.2013.12.025openalex-snapshot
Applications of Hadamard transform-gas chromatography/mass spectrometry to the detection of acetone in healthy human and diabetes mellitus patient breath
inferredcites →https://doi.org/10.1016/s0140-6736(14)60613-9openalex-snapshot
Prevention and management of type 2 diabetes: dietary components and nutritional strategies
inferredcites →https://doi.org/10.1016/s0140-6736(77)91605-1openalex-snapshot
BREATH-METHANE IN PATIENTS WITH CANCER OF THE LARGE BOWEL
inferredcites →https://doi.org/10.1016/s1570-0232(04)00657-9openalex-snapshot
Determination of acetone in human breath by gas chromatography–mass spectrometry and solid-phase microextraction with on-fiber derivatization
inferredcites →https://doi.org/10.1038/ki.1997.324openalex-snapshot
Quantitative analysis of ammonia on the breath of patients in end-stage renal failure
inferredcites →https://doi.org/10.1038/scientificamerican0792-74openalex-snapshot
Breath Tests in Medicine
inferredcites →https://doi.org/10.1081/jas-120033990openalex-snapshot
Exhaled Nitric Oxide Predicts Asthma Exacerbation
inferredcites →https://doi.org/10.1088/0957-4484/20/31/315502openalex-snapshot
Minimal cross-sensitivity to humidity during ethanol detection by SnO2–TiO2solid solutions
inferredcites →https://doi.org/10.1088/1752-7155/1/1/011001openalex-snapshot
Acetone, ammonia and hydrogen cyanide in exhaled breath of several volunteers aged 4–83 years
inferredcites →https://doi.org/10.1088/1752-7155/10/3/034002openalex-snapshot
A systematic review of breath analysis and detection of volatile organic compounds in COPD
inferredcites →https://doi.org/10.1088/1752-7155/2/4/046001openalex-snapshot
On the use of Tedlar® bags for breath-gas sampling and analysis
inferredcites →https://doi.org/10.1088/1752-7155/3/2/027003openalex-snapshot
Breath acetone—aspects of normal physiology related to age and gender as determined in a PTR-MS study
inferredcites →https://doi.org/10.1088/1752-7155/3/2/027007openalex-snapshot
Investigations on the variability of breath gas sampling using PTR-MS
inferredcites →https://doi.org/10.1088/1752-7155/4/4/046001openalex-snapshot
Accurate, reproducible measurement of acetone concentration in breath using selected ion flow tube-mass spectrometry
inferredcites →https://doi.org/10.1088/1752-7155/5/4/046011openalex-snapshot
Measurement of breath acetone concentrations by selected ion flow tube mass spectrometry in type 2 Diabetes
inferredcites →https://doi.org/10.1088/1752-7155/6/3/036004openalex-snapshot
An investigation of suitable bag materials for the collection and storage of breath samples containing hydrogen cyanide
inferredcites →https://doi.org/10.1088/1752-7155/7/1/017115openalex-snapshot
Monitoring breath during oral glucose tolerance tests
inferredcites →https://doi.org/10.1088/1752-7155/7/3/037109openalex-snapshot
Is breath acetone a biomarker of diabetes? A historical review on breath acetone measurements
inferredcites →https://doi.org/10.1088/1752-7155/7/4/044001openalex-snapshot
Hydrogen cyanide, a volatile biomarker ofPseudomonas aeruginosainfection
inferredcites →https://doi.org/10.1088/1752-7163/aa6ac6openalex-snapshot
Analyzing breath samples of hypoglycemic events in type 1 diabetes patients: towards developing an alternative to diabetes alert dogs
inferredcites →https://doi.org/10.1088/1752-7163/ab1789openalex-snapshot
Targeted breath analysis: exogenous volatile organic compounds (EVOC) as metabolic pathway-specific probes
inferredcites →https://doi.org/10.1088/1752-7163/abc09bopenalex-snapshot
Adsorption kinetics feature extraction from breathprint obtained by graphene based sensors for diabetes diagnosis
inferredcites →https://doi.org/10.1109/icca.2018.8444167openalex-snapshot
Enhanced XGBoost-Based Automatic Diagnosis System for Chronic Kidney Disease
inferredcites →https://doi.org/10.1109/icch.2012.6724490openalex-snapshot
A novel breath analysis system for diabetes diagnosis
inferredcites →https://doi.org/10.1109/iccsp.2015.7322639openalex-snapshot
Non- invasive diabetes detection and classification using breath analysis
inferredcites →https://doi.org/10.1109/icts.2017.8265677openalex-snapshot
Detection of diabetes from gas analysis of human breath using e-Nose
inferredcites →https://doi.org/10.1109/jbhi.2017.2757510openalex-snapshot
Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network
inferredcites →https://doi.org/10.1109/jsen.2009.2035675openalex-snapshot
Editorial The Future of Sensors and Instrumentation for Human Breath Analysis
inferredcites →https://doi.org/10.1109/jsen.2009.2035730openalex-snapshot
A Study on Breath Acetone in Diabetic Patients Using a Cavity Ringdown Breath Analyzer: Exploring Correlations of Breath Acetone With Blood Glucose and Glycohemoglobin A1C
inferredcites →https://doi.org/10.1109/jsen.2013.2245888openalex-snapshot
A Micropreconcentrator Design Using Low Temperature Cofired Ceramics Technology for Acetone Detection Applications
inferredcites →https://doi.org/10.1109/jsen.2017.2780178openalex-snapshot
A Novel 1-D Convolution Neural Network With SVM Architecture for Real-Time Detection Applications
inferredcites →https://doi.org/10.1109/tbme.2010.2055864openalex-snapshot
A Novel Breath Analysis System Based on Electronic Olfaction
inferredcites →https://doi.org/10.1109/tbme.2014.2329753openalex-snapshot
Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction
inferredcites →https://doi.org/10.1109/tcbb.2019.2911071openalex-snapshot
XGBoost Model for Chronic Kidney Disease Diagnosis
inferredcites →https://doi.org/10.1177/1535370217750088openalex-snapshot
Biomarker definitions and their applications
inferredcites →https://doi.org/10.1186/1471-2407-9-348openalex-snapshot
Noninvasive detection of lung cancer by analysis of exhaled breath
inferredcites →https://doi.org/10.1203/00006450-199809000-00016openalex-snapshot
Exhaled Isoprene and Acetone in Newborn Infants and in Children with Diabetes Mellitus
inferredcites →https://doi.org/10.1378/chest.111.6.1500openalex-snapshot
Exhaled Pentane and Nitric Oxide Levels in Patients With Obstructive Sleep Apnea
inferredcites →https://doi.org/10.1590/s1806-37132010000600005openalex-snapshot
Temperatura do ar exalado, um novo biomarcador no controle da asma: um estudo piloto
inferredcites →https://doi.org/10.3109/00365529209011161openalex-snapshot
Breath Methane and Colorectal Cancer
inferredcites →https://doi.org/10.3109/10715769509064026openalex-snapshot
Expired Hydrocarbons in Patients with Acute Myocardial Infarction
inferredcites →https://doi.org/10.3390/diagnostics9040224openalex-snapshot
Blood Ketone Bodies and Breath Acetone Analysis and Their Correlations in Type 2 Diabetes Mellitus
inferredcites →https://doi.org/10.3390/metabo4040921openalex-snapshot
Micropreconcentrator in LTCC Technology with Mass Spectrometry for the Detection of Acetone in Healthy and Type-1 Diabetes Mellitus Patient Breath
inferredcites →https://doi.org/10.3390/molecules25092227openalex-snapshot
Advances in Mid-Infrared Spectroscopy-Based Sensing Techniques for Exhaled Breath Diagnostics
inferredcites →https://doi.org/10.3390/s16081199openalex-snapshot
A Portable Real-Time Ringdown Breath Acetone Analyzer: Toward Potential Diabetic Screening and Management
inferredcites →https://doi.org/10.3390/s17020287openalex-snapshot
Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm
inferredcites →https://doi.org/10.3390/s18072298openalex-snapshot
Sensors for Enhanced Detection of Acetone as a Potential Tool for Noninvasive Diabetes Monitoring
inferredcites →https://doi.org/10.3978/j.issn.2072-1439.2013.08.44openalex-snapshot
Exhaled breath analysis for lung cancer.
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1309.0238openalex-snapshot
API design for machine learning software: experiences from the scikit-learn project
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Classification-Guided Specialized Regression for Non-Invasive Blood Glucose Estimation: A Synthetic E-Nose Benchmark Study
inferred← citeshttps://doi.org/10.3390/mi14030542openalex-snapshot
Measurement of Complex Permittivity for Rapid Detection of Liquid Concentration Using a Reusable Octagon-Shaped Resonator Sensor
inferred← citeshttps://doi.org/10.3390/s24041294openalex-snapshot
Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose
inferred← citeshttps://doi.org/10.36227/techrxiv.24448963openalex-snapshot
GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath
inferred← citeshttps://doi.org/10.36227/techrxiv.24448963.v1openalex-snapshot
GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath
inferred← citeshttps://doi.org/10.37905/jji.v5i1.18814openalex-snapshot
Enhancing the Efficiency of Jakarta's Mass Rapid Transit System with XGBoost Algorithm for Passenger Prediction
inferred← citeshttps://doi.org/10.47065/bits.v5i2.4096openalex-snapshot
Implementation of Hyperparameters to the Ensemble Learning Method for Lung Cancer Classification
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.1410000004openalex-snapshot
AI-Powered Wristband for Accurate BAC Monitoring Using Smart Data Fusion
inferred← citeshttps://doi.org/10.54254/2753-8818/13/20240827openalex-snapshot
Machine learning and deep learning techniques in diabetes prediction
inferred← citeshttps://doi.org/10.61186/jeer.13.4.1openalex-snapshot
Sensitivity of Desert Landforms to Trampling Using Digital Photography and XGboost Model: A Case Study of Masile Pit in Qom
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