Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

Rana Waqar Aslam, Hong Shu, Iram Naz

Predictors of perceived symptom change with acute cannabis use for mental health conditions in a naturalistic sample: A machine learning approach

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Machine learning in public health informatics: Evidence that complex sampling structures may not be needed for prediction models with imbalanced outcomes

Zhengye Si, Jinpu Li, Emily Leary

Effectiveness of a Biofeedback Intervention Targeting Mental and Physical Health Among College Students Through Speech and Physiology as Biomarkers Using Machine Learning: A Randomized Controlled Trial

Lifei Wang, Rongxun Liu, Yang Wang

A Systematic Review on Machine Learning (ML) and Artificial Intelligence (AI) in Understanding and Assessing Women's Health

Jones Yeboah, Sophia Bampoh, Foster Yeboah

Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches

Ahatsham Hayat, Fernando Morgado‐Dias, Bikram Pratim Bhuyan et al.

A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring

Wuyi Ming, Peiyan Sun, Zhen Zhang

Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19

Danai Khemasuwan, Jeffrey Sorensen, Henri G. Colt

Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora

Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari et al.

Prognosis Research in Health Care

Air pollution prediction using LSTM deep learning and metaheuristics algorithms

Ghufran Isam Drewil, Riyadh Jabbar Al-Bahadili

Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia

Yoojin Kang, Hyunyoung Choi, Jungho Im