Injury prediction in elite women’s football: an integrative machine learning-based decision-support framework

Advanced machine learning-based screening for primary aldosteronism with plasma steroids, potassium, and renin

Wenyu Zhang, Christina Pamporaki, René Jäkel, Georgiana Constantinescu, Mirko Peitzsch, Manuel Schulze, et al.

Abstract Commonly used screening tests for primary aldosteronism (PA) provide suboptimal diagnostic accuracy, particularly with antihypertensive medication use. This study utilized three datasets totaling 1380 patients with and without PA to develop machine learning models for sc…Read more

Fairness in multimodal machine learning applications in clinical decision support: a systematic review

Amit Saha, Lexuan Shao, Jinman Kim, Adam G. Dunn

Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage

Ethan Williams, Toshi Sinha, Matthew Summerscales, Yogesan Kanagasingam

Abstract Machine learning models that predict hospital admission at triage may support patient flow forecasting, yet the effects of covariate drift, concept drift, and retraining on long-term performance are poorly understood. We developed an Extreme Gradient Boosting (XGBoost) m…Read more

Applications of traditional machine learning and deep learning algorithms in obesity prediction or classification: a systematic review of comparative performance

Mehrdad Jamali, Meysam Zarezadeh, Mohammad Vesal Bideshki, Mohamed Khalifa, Michelle Cavaleri, Ahmad Saedisomeolia, et al.

Multi-omics fusion with machine learning enables robust prediction of treatment response in ovarian cancer for precision population health

Jie Chen, Tianshi Mao, Yu Yang, Yue Wu, Mingqi Wang, Xiexia Huang, et al.

Explainable machine learning for 10-year prediction of cognitive impairment in a rural Chinese population

Botang Guo, Shiqi Li, Minyao Li, Yuanshuo Ma, Ying Fu, Yihao Shu, et al.