A Comparative Study on Logistic Regression Model and PCA-Logistic Regression Model in Medical Diagnosis

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Author(s) J.Padmavathi
Pages 1372-1378
Volume 2
Issue 8
Date August, 2012
Keywords Logistic regression(LR), PCA, feature extraction, Coronary Heart Disease(CHD).

Abstract

Logistic regression is a simple statistical tool used in binary classification. LR is useful for situations in which we want to predict the presence or absence of a characteristic or outcome based on values of a set of predictor variables. Unlike LR, PCA is another technique used in feature extraction and in dimensionality reduction. This paper puts forth the experimental results of LR model and PCA-LR model in medical diagnosis, namely the CHD dataset.

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