Artificial Intelligence, Machine Learning, and Mental Health in Pandemics

Feature Selection and Hybrid Sampling with Machine Learning Methods for Health Data Classification

Hairani Hairani, Triyanna Widiyaningtyas, Didik Dwi Prasetya et al.

Pervasive mental health self-help based on cognitive-behavior therapy and machine learning

Xinguo Xu, Tingshao Zhu, Ruiquan Zhang

Long-term trajectories of depressive symptoms and machine learning techniques for fall prediction in older adults: Evidence from the China Health and Retirement Longitudinal Study (CHARLS)

Xiaodong Chen, Shaowu Lin, Yixuan Zheng

Predicting Asthma Exacerbation Risk in the Adult South Korean Population Using Integrated Health Data and Machine Learning Models

Joon Young Choi, Chin Kook Rhee

Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations

Sumit Singh Dhanda, Deepak Panwar, Chia‐Chen Lin

Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records

Yanshan Wang, Yiqing Zhao, Terry M. Therneau

Intelligible Machine Learning for Critical Applications Such As Health Care

Rich Caruana

An investigation of how normalisation and local modelling techniques confound machine learning performance in a mental health study

Xinxin Zhang, Jimmy Lee, Wilson Wen Bin Goh

Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study

Maxime Cannesson, Ira Hofer, Joseph Rinehart

Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects

A. Saldarriaga Vélez, Maria Muñiz, Juan Luis Fernández‐Martínez et al.

A Machine Learning-based Damage Prediction Techniques for Structural Health Monitoring

Et. al. M Vishnu Vardhana Rao