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호흡곤란환자의 입-퇴원 분석을 위한 규칙가중치 기반 퍼지 분류모델

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Author(s)
손창식신아미이영동박형섭박희준김윤년
Keimyung Author(s)
Park, Hee JunPark, Hyoung SeobKim, Yoon Nyun
Department
Dept. of Biomedical Engineering (의용공학과)
Dept. of Internal Medicine (내과학)
Journal Title
의공학회지
Issued Date
2010
Volume
31
Issue
1
Keyword
Fuzzy Classification ModelRuleWeightRule GenerationDyspnea Patient
Abstract
A rule weight -based fuzzy classification model is proposed to analyze the patterns of admission-discharge of patients as a previous research for differential diagnosis of dyspnea. The proposed model is automatically generated from a labeled data set, supervised learning strategy, using three procedure methodology: i) select fuzzy partition regions from spatial distribution of data; ii) generate fuzzy membership functions from the selected partition regions; and iii) extract a set of candidate rules and resolve a conflict problem among the candidate rules. The effectiveness of the proposed fuzzy classification model was demonstrated by comparing the experimental results for the dyspnea patients' data set with 11 features selected from 55 features by clinicians with those obtained using the conventional classification methods, such as standard fuzzy classifier without rule weights, C4.5, QDA, kNN, and SVMs.
Alternative Title
Rule Weight-Based Fuzzy Classification Model for Analyzing Admission-Discharge of Dyspnea Patients
Keimyung Author(s)(Kor)
박희준
박형섭
김윤년
Publisher
School of Medicine
Citation
손창식 et al. (2010). 호흡곤란환자의 입-퇴원 분석을 위한 규칙가중치 기반 퍼지 분류모델. 의공학회지, 31(1), 40–49.
Type
Article
ISSN
1229-0807
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/36826
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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