A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Logistic regression is also a fundamental algorithm in machine learning and statistics. Understanding these main applications and how logistic regression works can help your organization learn how ...

By comparison, classical statistical models such as logistic regression (LR) rely on selection of risk factors, often on the basis of a priori knowledge. Although ML techniques have achieved recent ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

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 ...

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...