Artificial Intelligence and Machine Learning for Women’s Health Issues

Machine Learning-Driven Prediction and Analysis of Mental Health Risks Among University Students

Soontarin Nupap, Hnin Oo Wai, Nyein Nyein Kyaw

A nurse-driven method for developing artificial intelligence in “smart” homes for aging-in-place

Roschelle Fritz, Gordana Dermody

Review of fall detection techniques: A data availability perspective

Shehroz S. Khan, Jesse Hoey

Radiomics in breast cancer: Current advances and future directions

Ying-Jia Qi, Guan-Hua Su, Chao You

Comparing and Validating Machine Learning Models for <i>Mycobacterium tuberculosis</i> Drug Discovery

Thomas R. Lane, Daniel P. Russo, Kimberley M. Zorn

An IoT-Driven Machine Learning Framework for Predictive Crop Health Monitoring in Precision Agriculture

G.Ravikumar Reddy, Umadevi Kudtala, Vadde Seetharama Rao et al.

MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction

Nathan LaPierre, Chelsea J.‐T. Ju, Guangyu Zhou

An Analysis of Forest Health Using Machine Learning Algorithms

Yun-Ki Kim

A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning

He Ren, Wenyi Liu, Mengchen Shan

An AI-based Decision Support System for Predicting Mental Health Disorders

Salih Tutun, Marina Johnson, Abdulaziz Ahmed

Modelling Environmental Impact on Public Health using Machine Learning: Case Study on Asthma

Lakmini Wijesekara, Liwan Liyanage