Medscape

New Machine Learning Model Predicts In-Hospital Mortality in Acute Liver Failure

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
Hosted on MSN

Complete | What Is Linear Regression Machine Learning ?

This video is a one stop shop for understanding What is linear regression in machine learning. Linear regression in machine learning is considered as the basis or foundation in machine learning. This ...
The American Journal of Managed Care

28-Day Mortality Predicted by Machine Learning in Patients With CRC

Critically ill older patients with colorectal cancer (CRC) had their 28-day mortality predicted using machine learning algorithms. Machine learning algorithms were able to be used to predict the ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
ascopubs.org

Predicting In-Hospital Mortality After Acute Myeloid Leukemia Therapy: Through Supervised Machine Learning Algorithms

29,613 hospitalizations for patients with AML were included in the analysis each with 4,177 features. The median age was 58.9 (18-101) years, 13,689 (53.7%) were male, and 20,203 (69%) were White. The ...