Minimal dataset for “Investigating the role of mental health and lifestyle behaviours in the risk of adolescent suicidal behaviours through machine learning”

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Author Correction: A machine learning approach to leveraging electronic health records for enhanced omics analysis

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Machine learning models in predicting health care costs in patients with a recent acute coronary syndrome: A prospective pilot study

Arto Jorma Hautala, Babooshka Shavazipour, Bekir Afşar et al.

Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study

William Brown, Renu Balyan, Andrew John Karter

MATERNAL-PREDICT: A DUAL-PIPELINE MACHINE LEARNING MODEL FOR MATERNAL AND FETAL HEALTH MONITORING

Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria

Aaron Michael Cohen, Steven R. Chamberlin, Thomas G. DeLoughery et al.

The impact of oversampling with “ubSMOTE” on the performance of machine learning classifiers in prediction of catastrophic health expenditures

Songül Çınaroğlu

Machine Learning on Belgian Health Expenditure Data: Data-driven Screening for Type 2 Diabetes

Marc Claesen

Predicting Propofol Dosage Requirements Using Machine Learning for Gastrointestinal Endoscopy in Preventive Health Screenings

鄭宇志

Heart Rate Variability Analysis and Machine Learning for Prediction of Cardiac Health

Hemant P. Kasturiwale, Sujata N. Kale

Machine Learning and Data Mining Methods in Diabetes Research

Ioannis Kavakiotis, O. Tsave, Athanasios Salifoglou et al.

Istetab: A Comprehensive Framework for Predictive Health Analytics Leveraging Mathematical Modelling and Machine Learning

Mohammad Shahin, Mamdouh Dabjan, Ramzi A. Haraty