Université de Sherbrooke and Canadian collaborators report an association between long-term residential sulfur dioxide exposure and higher odds of amyotrophic lateral sclerosis (ALS) onset. In the ...

A case-control study revealed that combinations of drugs for cardiovascular diseases and hypertension were frequently prescribed before a diagnosis of bullous pemphigoid (BP), but the risk associated ...

While the efficacy of statins, which are cholesterol-lowering agents, in preventing subarachnoid hemorrhage (SAH) has been examined in experimental animal models and some clinical studies, findings ...

A comprehensive machine learning web application that predicts disease risk based on patient medical parameters using Logistic Regression and Random Forest algorithms. This project provides an ...

ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

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 ...

A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...

Background: Amino acids are known to play critical roles in cancer metabolism and progression. Among them, taurine, S-adenosylmethionine (SAM), and cysteine have garnered particular attention due to ...

We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...