Edge-Driven Machine Learning for Real-Time Health Anomaly Detection in IoT-Based Healthcare: A Modular Framework

Dr. Christhu Raj M R, Sangwoo Jeon

Edge Health: A Decentralized, Privacy-Preserving Framework for Real-Time Illness Risk Prediction Using IoT and Machine Learning

Raghad Mohammed Hadi

Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old

Kwang-Sig Lee, Byung‐Joo Ham

Adversarial Machine Learning for Medicare Risk Adjustment: Training Payment Formulas Against a Strategic Health Plan

Temitope Ologunbaba, Chisom G. Adiegwu, Adebolu Temitope et al.

Comparative Analysis of Ensemble Machine Learning Algorithms For Diesel Injector Health Classification Using ECU Sensor Data

Bibek Dhungana, Manish Upreti, Navaraj Dahal

Managing the Scarcity of Monitoring Data Through Machine Learning for Human Behavior in Mental Health Care

Nitesh Kumar Dixit, Dileep Kumar Agarwal, Mahendra Kumar et al.

Improving Structural Health Monitoring in Aeronautical Composite Materials: Leveraging Embedded Sensor Data for Enhanced Performance and Simplified Machine Learning-Based Fault Detection and Identification

Rogers K. Langat, Weikun Deng, Emmanuel De Luycker

Review for "Identification of Maternal Health Risk from Optimal Features Using Explainable Machine Learning"

A brief survey of machine learning methods and their sensor and IoT applications

Uday Shankar Shanthamallu, Andreas Spanias, Cihan Tepedelenlioğlu et al.

Mapping the digital determinants of health: a machine learning analysis of YouTube narratives on child undernutrition in Pakistan

Muhammad Shahid, Jiayi Song, Zaiba Ali

Harnessing AI for Health and Knowledge: An Investigation into Machine and Deep Learning Models for Medical and Textual Data

Ali Abbas, Shreya Agarwal, Manish Jaiswal

Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction

Duo Yu, Hulin Wu