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Evaluation of various traditional machine learning techniques for predicting the acute effect of different hamstring muscle stretching methods among male soccer players

Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh | BMC Psychiatry

World Health Organization (WHO). Noncommunicable diseases. 23 Dec 2024 . Available: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseasesWorld Health Organization (WHO). The top 10 causes of...

Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh | Journal of Health, Population and Nutrition

Mental health is a crucial component of overall well-being, encompassing an individual’s psychological, emotional, and social state. Despite its importance,...

Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction | BMC Infectious Diseases

Baseline characteristicsBoxplots grouped by ANLR quartiles (Fig. 2) show that NLR levels progressively decreased, while albumin levels gradually increased across quartiles....