Data-Driven Research Through Internet of Things and Machine Learning for Monitoring and Classifying Health Status and Addressing Data Availability Issues

Ajinkya Hase, Pragati Sawant

Evidence of Gender Differences in the Diagnosis and Management of Coronavirus Disease 2019 Patients: An Analysis of Electronic Health Records Using Natural Language Processing and Machine Learning

Julio Ancochea, Jose Luis Izquierdo-Alonso, Joan Bautista Soriano et al.

An Efficient Named Entity Recognition Model In Medical Health Records Using Water Wave Optimization With Kernel Extreme Learning Machine

Combination of compositional data analysis and machine learning approaches to identify sources and geochemical associations of potentially toxic elements in soil and assess the associated human health risk in a mining city

Gevorg Tepanosyan, Lilit Sahakyan, Nairuhi Maghakyan et al.

Big Data and machine learning in radiation oncology: State of the art and future prospects

Jean‐Emmanuel Bibault, Philippe Giraud, Anita Burgun et al.

Explainable machine learning for mental health prediction from social media behavior: a nested cross-validation study with SHAP and LIME interpretability

Kamini Lamba, Shalli Rani, Mohammad Shabaz

Identifying risk factors for marijuana use among male high school students using machine learning: Implications for public health

Han H. Huynh, Khanh T. Q. Le, Le Huu Nhat Minh

Using Serious Game Techniques with Health Sciences and Biomedical Engineering Students: An Analysis Using Machine Learning Techniques

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Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

Shoko Maru, Ryohei Kuwatsuru, Michael D Matthias

Utilizing Fuzzy C-Means Clustering and PCA in Public Health: A Machine Learning Approach to Combat CVD and Obesity

Gamal Saad Mohamed Khamis, Nasser S. Alqahtani, Sultan Munadi Alanazi et al.

Retraction Note: Optical sensor based athlete player health monitoring and performance enhancement using data analytics based on machine learning model

Chaojun Li, Huini Shen, Zhibin Ge

Fetal Health Status Prediction During Labor and Delivery Based on Cardiotocogram Data Using Machine and Deep Learning

Anu Singha, Joe Raj S. Noel, R. V. Adhikrishna