Predicting Avoidable Health Care Utilization: Practical Considerations for Artificial Intelligence/Machine Learning Models in Population Health

Steven Lin, Shreya Shah, Amelia Sattler

A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment

Wei‐Min Chu, Endah Kristiani, Yu-Chieh Wang

Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare

Charalampia Kerasidou, Maeve Malone, Angela Daly

Capacity State-of-Health Estimation of Electric Vehicle Batteries Using Machine Learning and Impedance Measurements

Alberto Barragán-Moreno, Erik Schaltz, Alejandro Gismero et al.

A Bootstrap Machine Learning Approach to Identify Rare Disease Patients\n from Electronic Health Records

Ravi Garg, Dong Shu, Sanjiv J. Shah

Machine Learning Model for Sentiment Analysis on Mental Health Issues

Baijnath Kaushik, Akshita Sharma, Akshma Chadha

Predictive Analysis from Patient Health Records Using Machine Learning

Patil Reddy, P. Mohana Vamsi, C. Revanth Kumar

Advancing Heart Disease Prediction through Machine Learning: Techniques and Insights for Improved Cardiovascular Health

Proshanta Kumar Bhowmik, Mohammed Nazmul Islam Miah, Md Kafil Uddin et al.

Medical and Health Data Classification Method Based on Machine Learning

Yu Zeng, Fuchao Cheng

Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction

Tong Wang, Xu Zheng, Jun Liang

Enhancing digital health services: A machine learning approach to personalized exercise goal setting

Ji Fang, Vincent C. S. Lee, Hao Ji

Proceedings of the ACM Conference on Health, Inference, and Learning