教師資料查詢 | 類別: 期刊論文 | 教師: 陳昆皇 KUN-HUANG CHEN (瀏覽個人網頁)

標題:An improved electromagnetism-like mechanism algorithm and its application to the prediction of diabetes mellitus
學年103
學期2
出版(發表)日期2015/02/10
作品名稱An improved electromagnetism-like mechanism algorithm and its application to the prediction of diabetes mellitus
作品名稱(其他語言)
著者Wang K.J.; A.-M. Adrian; K.-H. Chen; K.-M. Wang
單位
出版者
著錄名稱、卷期、頁數Journal of Biomedical Informatics 54, pp.220-229
摘要Recently, the use of artificial intelligence based data mining techniques for massive medical data classification and diagnosis has gained its popularity, whereas the effectiveness and efficiency by feature selection is worthy to further investigate. In this paper, we presents a novel method for feature selection with the use of opposite sign test (OST) as a local search for the electromagnetism-like mechanism (EM) algorithm, denoted as improved electromagnetism-like mechanism (IEM) algorithm. Nearest neighbor algorithm is served as a classifier for the wrapper method. The proposed IEM algorithm is compared with nine popular feature selection and classification methods. Forty-six datasets from the UCI repository and eight gene expression microarray datasets are collected for comprehensive evaluation. Non-parametric statistical tests are conducted to justify the performance of the methods in terms of classification accuracy and Kappa index. The results confirm that the proposed IEM method is superior to the common state-of-art methods. Furthermore, we apply IEM to predict the occurrence of Type 2 diabetes mellitus (DM) after a gestational DM. Our research helps identify the risk factors for this disease; accordingly accurate diagnosis and prognosis can be achieved to reduce the morbidity and mortality rate caused by DM.
關鍵字Diabetes mellitus;Electromagnetism-like mechanism algorithm;Feature selection;Nearest-neighbor heuristic;Opposite sign test
語言英文(美國)
ISSN1532-0464;1532-0480
期刊性質國外
收錄於SCI;
產學合作國內;
通訊作者K.-M. Wang
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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