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 en_US
ISSN 1532-0464 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 否
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107024 )