Current Result Document :
| 한글제목(Korean Title) |
한국 남성의 고혈압에 대한 특징 선택 기반 위험 예측 |
| 영문제목(English Title) |
Feature selection-based Risk Prediction for Hypertension in Korean men |
| 저자(Author) |
홍고르출
김미혜
Khongorzul Dashdondov
Mi-Hye Kim
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| 원문수록처(Citation) |
VOL 28 NO. 01 PP. 0323 ~ 0325 (2021. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this article, we have improved the prediction of hypertension detection using the feature selection method for the Korean national health data named by the KNHANES database. The study identified a variety of risk factors associated with chronic hypertension. The paper is divided into two modules. The first of these is a data pre-processing step that uses a factor analysis (FA) based feature selection method from the dataset. The next module applies a predictive analysis step to detect and predict hypertension risk prediction. In this study, we compare the mean standard error (MSE), F1-score, and area under the ROC curve (AUC) for each classification model. The test results show that the proposed FIFA-OE-NB algorithm has an MSE, F1-score, and AUC outcomes 0.259, 0.460, and 64.70%, respectively. These results demonstrate that the proposed FIFA-OE method outperforms other models for hypertension risk predictions.
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| 키워드(Keyword) |
KNHANES
Hypertension
risk prediction
feature importance
feature selection
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| 파일첨부 |
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