Support Vector Machine Approach to Cardiac SPECT Diagnosis
نویسنده
چکیده
This article presents the use of Support Vector Machines (SVM) to diagnose the ischemic heart disease using heart images obtained from Single Proton Emission Computed Tomography (SPECT). The data set came from 267 different patients and was divided into several sub-sets containing training and validation data. The study consisted in comparing results of classifying cardiac SPECT images using SVMs with those obtained using another method of machine learning CLIP3 which is a combination of the decision tree algorithm and the rule induction algorithm. Validations carried out using a SPECT image database have shown that SVMs are good in generalising knowledge gained about multi-dimensional data with relatively little training data.
منابع مشابه
Heart Rate Variability Classification using Support Vector Machine and Genetic Algorithm
Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...
متن کاملFault diagnosis in a distillation column using a support vector machine based classifier
Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...
متن کاملMODELING OF FLOW NUMBER OF ASPHALT MIXTURES USING A MULTI–KERNEL BASED SUPPORT VECTOR MACHINE APPROACH
Flow number of asphalt–aggregate mixtures as an explanatory factor has been proposed in order to assess the rutting potential of asphalt mixtures. This study proposes a multiple–kernel based support vector machine (MK–SVM) approach for modeling of flow number of asphalt mixtures. The MK–SVM approach consists of weighted least squares–support vector machine (WLS–SVM) integrating two kernel funct...
متن کاملApplication of support vector machine classifiers to preoperative risk stratification with myocardial perfusion scintigraphy.
BACKGROUND Myocardial perfusion single-photon emission computed tomography (SPECT) has been used for risk stratification before non-cardiac surgery. However, few authors have used mathematical models for evaluating the likelihood of perioperative cardiac events. METHODS AND RESULTS This retrospective cohort study collected data of 1,351 patients referred for SPECT before non-cardiac surgery. ...
متن کاملAlzheimer's Diagnosis Using Eigenbrains and Support Vector Machines
An accurate and early diagnosis of the Alzheimer’s Disease (AD) is of fundamental importance for the patients medical treatment. Single Photon Emission Computed Tomography (SPECT) images are commonly used by physicians to assist the diagnosis, rating them by visual evaluations. In this work we present a computer assisted diagnosis tool based on a Principal Component Analysis (PCA) dimensional r...
متن کامل