關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A Case Study of Endometriosis

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序號 學年期 教師動態
1 105/1 資創系 武士戎 教授 期刊論文 發佈 Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosis , [105-1] :Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosis期刊論文Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosisMing-Yang Chang; Rui-Dong Chiang; Shih-Jung Wu; Chien-Hui ChanTreatment comparison;Unexpected patterns;Domain-driven data mining;Interestingness measuresSoft Computing 20(10), p.3991–4003Because clinical research is carried out in complex environments, prior domain knowledge, constraints, and expert knowledge can enhance the capabilities and performance of data mining. In this paper we propose an unexpected pattern mining model that uses decision trees to compare recovery rates of two different treatments, and to find patterns that contrast with the prior knowledge of domain users. In the proposed model we define interestingness measures to determine whether the patterns found are interesting to the domain. By applying the concept of domain-driven data mining, we repeated
2 105/1 資工系 蔣璿東 教授 期刊論文 發佈 Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosis , [105-1] :Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosis期刊論文Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosisMing-Yang Chang; Rui-Dong Chiang; Shih-Jung Wu; Chien-Hui ChanTreatment comparison;Unexpected patterns;Domain-driven data mining;Interestingness measuresSoft Computing 20(10), p.3991–4003Because clinical research is carried out in complex environments, prior domain knowledge, constraints, and expert knowledge can enhance the capabilities and performance of data mining. In this paper we propose an unexpected pattern mining model that uses decision trees to compare recovery rates of two different treatments, and to find patterns that contrast with the prior knowledge of domain users. In the proposed model we define interestingness measures to determine whether the patterns found are interesting to the domain. By applying the concept of domain-driven data mining, we repeated
3 101/2 資工系 蔣璿東 教授 期刊論文 發佈 Mining Medical Data: A Case Study of Endometriosis , [101-2] :Mining Medical Data: A Case Study of Endometriosis期刊論文Mining Medical Data: A Case Study of EndometriosisWang, Yi-Fan; Chang, Ming-Yang; Chiang, Rui-Dong; Hwang,Lain-Jinn; Lee, Cho-Ming; Wang, Yi-Hsin淡江大學資訊工程學系Endometriosis; Data mining; Decision tree; Medical dataNew York: Springer New York LLCJournal of Medical Systems 37(2), 9899(7pages)Ultrasound guided aspiration of ovarian endometrioma had been tried as an alternative therapeutic modality in patients whose desire to avoid surgery or surgical approach is contraindicated since 1991. Cyst puncture can reduce tumor volume and destruct the cyst wall, alleviate sticking circumstances and enhance the chance of recovery. But simple aspiration without other treatments results in high recurrence rate (28.5 % to 100 %). In order to reduce recurrence after aspiration, ultrasound-guided aspiration with instillation of tetracycline, methotrexate, and recombinant interleukin-2 has been combined and proven to be effective with the recurrence rat
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