Machine-learning-assisted Investigation into the Relationship between the Built Environment, Behavior, and Physical Health of the Elderly in China.

Xiaoping Wang, Z. Li, Meng Zhang

Machine Learning-Based Prediction of University Students’ Mental Health: Integrating Developmental and Psychosocial Factors in Higher Education Analytics

Hamza Saad

Integrating Health Data-Driven Machine Learning Algorithms to Evaluate Risk Factors of Early Stage Hypertension at Different Levels of HDL and LDL Cholesterol

Pen‐Chih Liao, Ming-Shu Chen, Mao-Jhen Jhou

Retraction: A Machine learning approach to monitor Brain Health and epilepsy detection ( IOP Conf. Ser.: Mater. Sci. Eng. 1055 012091)

Machine Learning Models for Mapping Potentially Toxic Elements and Assessing Human Health Risk in Soils Affected by Mining Activity

Ésio de Castro Paes, Gustavo Vieira Veloso, David Lukas Arruda Silva et al.

An integrated machine learning-based indoor thermal health model using a multidimensional database of thermal environments, physiological, and psychological indices

Yingxian Zhai, Meng Liu, Chandra Sekhar

Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach

Francis P. Chmiel, Daniel Burns, Brian Pickering

Comparative Efficiency Analysis of OECD Health Systems: FDH vs. Machine Learning Approaches with Efficiency Analysis Trees (EAT and RFEAT)

Yejin Joo

A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care

Anders Norrman, Caroline Wachtler, Per Erik Wändell et al.

Improving clinical decision support through interpretable machine learning and error handling in electronic health records

Mehak Arora, Hassan Mortagy, Nathan J. Dwarshuis

From Emissions to Admissions: Exploring the Air Quality of Camp de Tarragona and its Impact on Pediatric Respiratory Health using Machine Learning

Dídac Roda Pitarg

Structural Health Monitoring under Uncertainty and Material Degradation: A Review of Fiber-Optic Sensing and Machine Learning-Aided Analysis

Priscilla Kumar