HemoGraph: A Machine Learning Method for Type II Diabetes Pre-screening Using Social and Behavioral Determinants of Health

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Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data

Byung‐Hyun Lee, Kwang-Sig Lee, Hae-In Kim

Machine Learning Modeling Reveals Spatial Heterogeneity of Hydroecological Health in a Typical Semi-Arid Basin of the Yellow River

Hao Liu, Rui Xia, Yan Chen

A Web Application Based Mental Health & Illness Diagnosis with Machine Learning Approach and NLP Based Chat System

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Explainable Multi-Algorithm Machine Learning Framework for Early Mental Health Risk Prediction Using Behavioral Analytics

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Damage mechanism identification in composites via machine learning and acoustic emission

Caelin Muir, B. Swaminathan, Amjad S. Almansour

Leveraging Machine Learning and Real-World Data: Time-to-Event Analysis of COVID-19 Patients Using Electronic Health Records

Wes Anderson, Smith F. Heavner, Shu Chin Ma

Empirical Analysis of Acoustic Parameters of Parkinson’s Subjects and Predicting Health Status with Machine Learning Approach (P11-3.010)

Nur-E-Jannat Anika

Response to: Comment on “Classifying Delayed Dental Care Using Machine Learning: A National Health Interview Survey Analysis”

Giang T. Vu, Atish Chandra, Sanket Salvi

Intelligent feature elimination via Monte Carlo approach for machine learning-based groundwater nitrate prediction and health risk assessment

Mahmood Yousefi, Vahide Oskoei, Ali Oghazyan

Vegetation/Forest Health Monitoring Using Vegetation Indices and Machine Learning Regression: A Comparative Study of 13 Algorithms

Predicting Childhood Immunization Defaulters and Zero-Dose Children to Enable Digital Community Health Triage in Ethiopia: An Explainable Machine Learning Analysis of the 2024/25 Demographic and Health Survey

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