Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

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 ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems. Logistic regression is a technique used to make ...

WHEN I WAS diagnosed with lymphoma 11 years ago, I was eager to learn my prognosis. As a graduate student, I had excellent electronic access to the medical literature and was quickly able to review ...

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 ...

Speech patterns in phone conversations can spot people with early to moderate Alzheimer's dementia, a Japanese study suggested. A machine-learning predictive model correctly identified people with ...