Healio

AI model helps predict inpatient cirrhosis mortality ‘well in advance’

Please provide your email address to receive an email when new articles are posted on . The Random-Forest model significantly outperformed traditional methods in predicting mortality among ...
ascopubs.org

Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer

Consistency Between State's Cancer Registry and All-Payer Claims Database in Documented Radiation Therapy Among Patients Who Received Breast Conservative Surgery Logistic regression models achieved a ...
mccormick.northwestern.edu

BME 312: Biomedical Applications in Machine Learning

The course will start with a brief overview of how to upload and handle various types of biomedical data using Python. Supervised learning tasks such as regression and classification will be ...
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 ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...