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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology

admin May 18, 2025

Extreme gradient boosting modelOur study focused on tuning the hyper-parameters of an extreme gradient boosting model for predicting a binary...

Investigating the learning value of early clinical exposure among undergraduate medical students in Dubai: a convergent mixed methods study | BMC Medical Education

admin May 2, 2025

Out of those 68 students, 54 responded (i.e., response rate = 79.41%).QuantitativeThe reliability score of Cronbach’s Alpha for the ‘ECE Familiarization’...

Effects of self-controlled feedback on learning range of motion measurement techniques and self-efficacy among physical therapy students: a preliminary study | BMC Medical Education

admin March 4, 2025

Boyer KA, Johnson RT, Banks JJ, Jewell C, Hafer JF. Systematic review and meta-analysis of gait mechanics in young and...

Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study | BMC Medical Research Methodology

admin February 23, 2025

Trial SummaryWe used data from the VANISH trial, which was a 2 × 2 factorial trial including 408 randomised patients which compared...

Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China | BMC Pregnancy and Childbirth

admin February 14, 2025

Macrosomia ACOGP, Bulletin. Number 216. Obstet Gynecol. 2020;135(1):e18-e35.Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et...

Health profession students’ perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study | BMC Medical Education

admin January 27, 2025

General characteristics of the study population (Table 1)Table 1 General characteristics of the study population (Total n = 217), by field of studyThe study...

BMC

Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology

Investigating the learning value of early clinical exposure among undergraduate medical students in Dubai: a convergent mixed methods study | BMC Medical Education

Effects of self-controlled feedback on learning range of motion measurement techniques and self-efficacy among physical therapy students: a preliminary study | BMC Medical Education

Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study | BMC Medical Research Methodology

Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China | BMC Pregnancy and Childbirth

Health profession students’ perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study | BMC Medical Education

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