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 ...
Monthly Prescribing Reference

Machine Learning Model Can Predict Autism Spectrum Disorder

Generalizable machine learning prediction models were developed using 4 algorithms: logistic regression, decision tree, random forest, and eXtreme Gradient Boosting. HealthDay News — In a diagnostic ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...
Electronic Design

Machine Learning: Building the Bigger Picture by Leveraging Data

Machine learning (ML) is a method of data analysis that automates analytical model building. It’s a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify ...