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Mining medical data: a case study of endometriosis.
MedLine Citation:
PMID:  23321969     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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 rates of 46.9 %, 18.1 %, and 40 % respectively. Noma et al. (2001) reported that conduct of ethanol instillation for more than 10 min particularly for a case with a single endometrial cyst is considered most effective from the standpoint of recurrence (14.9 %). Our goal is to analyze patients with recurrent pelvic cyst who underwent surgical intervention. The research data are based on clinical diagnosis, symptoms and medical intervention classification, and the cyst numbers are defined as forecast project target. The decision tree, methodology of data mining technology, is used to find the meaningful characteristic as well as each other mutually connection. The experimental result can help the clinical faculty doctors to better diagnose and provide treatment reference for future patients.
Authors:
Yi-Fan Wang; Ming-Yang Chang; Rui-Dong Chiang; Lain-Jinn Hwang; Cho-Ming Lee; Yi-Hsin Wang
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Publication Detail:
Type:  Journal Article     Date:  2013-01-17
Journal Detail:
Title:  Journal of medical systems     Volume:  37     ISSN:  0148-5598     ISO Abbreviation:  J Med Syst     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-01-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7806056     Medline TA:  J Med Syst     Country:  United States    
Other Details:
Languages:  eng     Pagination:  9899     Citation Subset:  IM    
Affiliation:
Institute of Information and Decision Sciences, National Taipei College of Business, Taipei, Taiwan, Republic of China, yfwang_tw@webmail.ntcb.edu.tw.
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