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 ...
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 ...
TWCN Tech News

Best Machine Learning Models to know

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...