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

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Author(s): J.Padmavathi

Journal: International Journal of Engineering and Technology
ISSN 2049-3444

Volume: 2;
Issue: 8;
Start page: 1372;
Date: 2012;
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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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