BMJ

751 MEP162 – A preliminary study on 284 football players using a hamstring injury prediction with machine learning

In this context, using prognostic modelling approaches through machine learning technics emerges as a promising solution. Objectives We aim to assess the ability of several machine learning techniques ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
ascopubs.org

Development of a novel machine learning-based predictive risk calculator for radical cystectomy.

Outcomes with neoadjuvant chemotherapy in bladder-preserving treatment for MIBC. Any Complication Random Forest 0.662 0.66 Op Time, GFR, BMI, Surg. Approach Infectious Complication Random Forest 0.615 ...