The goal of the demo is to predict the sex (0 = male, 1 = female) of a hospital patient based on age, county of residence, blood monocyte count and hospitalization history. The demo reads a 200-item ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Kin-Yee Chan, Wei-Yin Loh, LOTUS: An Algorithm for Building Accurate and Comprehensible Logistic Regression Trees, Journal of Computational and Graphical Statistics, Vol. 13, No. 4 (Dec., 2004), pp.

Logistic regression is one of many machine learning techniques for binary classification -- predicting one of two possible discrete values. An example is predicting if a hospital patient is male or ...