2023
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.
Liu Y, Herrin J, Huang C, Khera R, Dhingra L, Dong W, Mortazavi B, Krumholz H, Lu Y. Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. Journal Of The American Medical Informatics Association 2023, 30: 943-952. PMID: 36905605, PMCID: PMC10114129, DOI: 10.1093/jamia/ocad035.Peer-Reviewed Original Research
2022
A machine learning application for raising WASH awareness in the times of COVID-19 pandemic
Pandey R, Gautam V, Pal R, Bandhey H, Dhingra L, Misra V, Sharma H, Jain C, Bhagat K, Arushi, Patel L, Agarwal M, Agrawal S, Jalan R, Wadhwa A, Garg A, Agrawal Y, Rana B, Kumaraguru P, Sethi T. A machine learning application for raising WASH awareness in the times of COVID-19 pandemic. Scientific Reports 2022, 12: 810. PMID: 35039533, PMCID: PMC8764038, DOI: 10.1038/s41598-021-03869-6.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19DisinformationFemaleGlobal HealthHumansMachine LearningMaleNatural Language ProcessingPandemicsConceptsMachine learning applicationsMachine learningArtificial intelligenceLearning applicationsContinuous machine learningConversational artificial intelligenceHealth misinformationLeverage machine learningConversational AIMachine translationNeural modelAI chatbotsDelivery of informationRight informationCombat misinformationMachineHealth appsMHealth platformAppsLearningNews contentVernacular languageInformationLocal languageCOVID-19 information
2019
Predicting Hemodynamic Shock from Thermal Images using Machine Learning
Nagori A, Dhingra L, Bhatnagar A, Lodha R, Sethi T. Predicting Hemodynamic Shock from Thermal Images using Machine Learning. Scientific Reports 2019, 9: 91. PMID: 30643187, PMCID: PMC6331545, DOI: 10.1038/s41598-018-36586-8.Peer-Reviewed Original Research