Patient health monitoring is a crucial requirement in today’s world. The researchers work in various domains to efficiently monitor patients’ health status. Due to the COVID-19 pandemic, nowadays, ...

Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training design, injury prevention, and talent management.

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

AdaBoost.R2 regression is a machine learning technique used to predict a single numeric value. AdaBoost.R2 builds a sequence of decision tree regressors where each accepted tree improves prediction ...