Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis

المؤلفون المشاركون

Kim, Jae Kwon
Kang, Sanggil

المصدر

Journal of Healthcare Engineering

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-09-06

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

الصحة العامة
الطب البشري

الملخص EN

Background.

Of the machine learning techniques used in predicting coronary heart disease (CHD), neural network (NN) is popularly used to improve performance accuracy.

Objective.

Even though NN-based systems provide meaningful results based on clinical experiments, medical experts are not satisfied with their predictive performances because NN is trained in a “black-box” style.

Method.

We sought to devise an NN-based prediction of CHD risk using feature correlation analysis (NN-FCA) using two stages.

First, the feature selection stage, which makes features acceding to the importance in predicting CHD risk, is ranked, and second, the feature correlation analysis stage, during which one learns about the existence of correlations between feature relations and the data of each NN predictor output, is determined.

Result.

Of the 4146 individuals in the Korean dataset evaluated, 3031 had low CHD risk and 1115 had CHD high risk.

The area under the receiver operating characteristic (ROC) curve of the proposed model (0.749 ± 0.010) was larger than the Framingham risk score (FRS) (0.393 ± 0.010).

Conclusions.

The proposed NN-FCA, which utilizes feature correlation analysis, was found to be better than FRS in terms of CHD risk prediction.

Furthermore, the proposed model resulted in a larger ROC curve and more accurate predictions of CHD risk in the Korean population than the FRS.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Kim, Jae Kwon& Kang, Sanggil. 2017. Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1180872

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Kim, Jae Kwon& Kang, Sanggil. Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis. Journal of Healthcare Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1180872

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Kim, Jae Kwon& Kang, Sanggil. Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1180872

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1180872