Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
ascopubs.org

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

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...
European Medical Journal

Machine Learning Aids Prognosis in Upper Tract Urothelial Cancer

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Visual Studio Magazine

Logistic Regression Using the scikit Library

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...
Insurancenewsnet.com

Studies from Harvard T.H. Chan School of Public Health in the Area of Machine Learning Described (A Framework for Predicting Impactability of Digital Care Management Using ...

2020 AUG 26 (NewsRx) -- By a News Reporter-Staff News Editor at Ivy League Daily News-- Investigators discuss new findings in Machine Learning. According to news reporting out of Boston, Massachusetts ...
The American Journal of Managed Care

Machine Learning Algorithm Finds Links Between Adverse Childhood Experiences, Rheumatic Diseases

People who suffered trauma as a child appear to be at a higher risk of fibromyalgia, although it is unclear exactly why. Adverse childhood experiences appear to increase a person’s risk of developing ...