BIOENGINEER

Machine Learning Algorithms Accurately Calibrate Multiplex Serology for Helicobacter Pylori Diagnosis

A China Kadoorie Biobank investigation demonstrates that supervised classification algorithms successfully translate ...
BIOENGINEER

Simple Logistic Regression Shows Stable Screening Performance for Depressive Symptoms in COPD

A study of community-based chronic obstructive pulmonary disease patients found that an interpretable logistic regression ...
technologynetworks

Logistic Regression

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
ascopubs.org

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams

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 ...
Medical Xpress

Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients

Submucosal tumors (SMTs) are usually found in the stomach and esophagus during an upper endoscopy. Submucosal tunneling endoscopic resection (STER) and non-tunneling endoscopic resection (NTER) are ...