This is closely related to the traditional statistical application of the method, the key difference being that in machine learning, logistic regression is used to develop a model that learns from ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

WASHINGTON, July 1, 2025 /PRNewswire/ — FinRegLab today released new empirical research demonstrating that adopting machine ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

Logistic regression, nearest neighbors regression, random forest regression (RFR), support vector regression, and K-nearest neighbors regression were the machine-learning algorithms used for this ...

Logistic regression, 2. Random forest, 3. Decision tree, and 4. eXtreme Gradient Boosting (XGBoost). ... "Can a machine learning model accurately predict autism spectrum disorder?".