Medscape

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

Researchers developed and validated a machine learning model based on logistic regression that used routine clinical and treatment data to accurately predict in-hospital deaths among patients with ...
Medscape

Cirrhosis Mortality Prediction Boosted by Machine Learning

Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...
News Medical

Machine learning models fall short in predicting in-hospital mortality

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...
EurekAlert!

A machine learning model for predicting sepsis-related mortality

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients with sepsis complicated by acute respiratory failure. Using routinely ...
ascopubs.org

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
ascopubs.org

Use of G8 screening and CARG toxicity scores to predict emergency room (ER), hospital (IP) admissions, and mortality in newly diagnosed older patients with cancer undergoing ...

Real-world efficacy and safety outcomes of older adult patients on enfortumab vedotin for urothelial carcinoma. Hazard ratios for ER/IP admission and mortality comparing high/low risk G8 and CARG ...