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

Djavan et al 1 clearly appreciate predictive accuracy. In the current issue of the Journal of Clinical Oncology, they compare an artificial neural network (ANN) prediction model with traditional ...

A priori, 26 common clinical variables from DHAR were selected as prognostic factors, including demographics, radiographic parameters of hip morphology and self-reported measures. We used 1082 hip ...

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.

David P. Duda, Patrick Minnis, Basic Diagnosis and Prediction of Persistent Contrail Occurrence Using High-Resolution Numerical Weather Analyses/Forecasts and Logistic Regression.

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

Binary-response regression models in which the link function is a family defined by one or more unknown shape parameters are considered. Detailed attention is given to the two single-parameter ...