e-journal

Novel Approaches for Predicting Risk Factors of Atherosclerosis

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Abstract—Coronary heart disease (CHD) caused by hardening of artery walls due to cholesterol known as atherosclerosis is responsible for large number of deaths worldwide. The disease progression is slow, asymptomatic, and may lead to sudden cardiac arrest, stroke, or myocardial infraction. Presently, imaging techniques are being employed to understand the molecular and metabolic activity of atherosclerotic plaques to estimate the risk. Thoughimagingmethodsareabletoprovidesomeinformationon plaque metabolism, they lack the required resolution and sensitivity for detection. In this paper, we consider the clinical observations and habits of individuals for predicting the risk factors of CHD.Theidentificationofriskfactorshelpsinstratifyingpatients for further intensive tests such as nuclear imaging or coronary angiography. We present a novel approach for predicting the risk factorsofatherosclerosiswithanin-builtimputationalgorithmand particle swarm optimization (PSO). We compare the performance of our methodology with other machine-learning techniques on STULONGdatasetwhichisbasedonlongitudinalstudyofmiddleaged individuals lasting for 20 years. Our methodology powered by PSO search has identified physical inactivity as one of the risk factors for the onset of atherosclerosis in addition to other already known factors. The decision rules extracted by our methodology are able to predict the risk factors with an accuracy of 99.73% which are higher than the accuracies obtained by the application ofthestate-of-the-artmachine-learningtechniquespresentlybeing employed in the identification of atherosclerosis risk studies.

Index Terms—Atherosclerosis, classification, decision trees, feature selection, imputation, particle swarm optimization (PSO), prediction, risk factors

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 1, JANUARY 2013 p. 183-189

Bahasa

English

ISBN/ISSN

1089-7771

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

KEDOKTERAN-ALAT DAN PERLENGKAPAN
ARTERIOSKLEROSIS

Info Detail Spesifik

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Pernyataan Tanggungjawab

V. Sree Hari Rao and M. Naresh Kumar

Versi lain/terkait

Lampiran Berkas

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