Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases

Machine Learning for Multimodal Electronic Health Records-Based Research: Challenges and Perspectives

Ziyi Liu, Jiaqi Zhang, Yongshuai Hou

A Data Driven Mental Health Analysis Using Machine Learning Techniques

Priyanka P. Shinde, V. P. Desai, Kavita S. Oza

On the Trustworthiness of Machine Learning Models in Health and Usage Monitoring of In-Service Helicopters

Pierre-Loïc Maisonneuve

Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk

Md Nurul Raihen, Sultana Akter

A Meta-Analysis of Machine Learning Techniques for Predicting Disease Progression in Electronic Health Records

Yanan Wang

Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review

Su Golder, Dongfang Xu, Karen O’Connor

Machine Learning in Fetal Health: Improving ECG Analysis with Random Forest

Mohammed Moutaib, Mohammed Y. Fattah, Yousef Farhaoui et al.

Machine learning approaches in multifunctional composites for EV health monitoring

Tymon B. Nieduzak, Luke B. Demo, Maria Qing Feng

Prediction of Mental Health Support of Employee Perceiving by Using Machine Learning Methods

Hossein Jamalirad, Mahdie Jajroudi

Predicting Individuals Mental Health Status in Kenya using Machine Learning Methods

Yara Alharahsheh, Malak Abdullah

Comprehensive Classification of Fetal Health Using Cardiotocogram Data Based on Machine Learning

Ahmed A. H. Alkurdi, Adnan Mohsin Abdulazeez