{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:35:35Z","timestamp":1740202535885,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>The Chinese Version of Classification and Codes of Diseases (CCD) is an expanded version of ICD-10. Hospitals are required to assign CCD codes to discharge diagnoses in China. To handle the contradiction between a shortage of skilled CCD coders and increasing coding efficiency, a CCD auto-coding method is urgently needed. In this study a hybrid auto-coding method was proposed based on the lexical characteristics obtained through the analysis of a corpus of 1537 diagnoses with normative CCD code. It combines the rule-based approach, the Chinese characters-based distributed semantic similarity and the dictionary-based approach. The rule-based approach was proved to be efficient and precise at the cost of time and manpower. The semantic similarity approach shows poor performance. The old-fashioned dictionary-based approach ends in leading significance. The final accuracy of this hybrid approach is 96.9% in the test.<\/jats:p>","DOI":"10.3233\/978-1-61499-830-3-427","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:26:30Z","timestamp":1740151590000},"source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Method for ICD-10 Auto-Coding of Chinese Diagnoses"],"prefix":"10.3233","author":[{"family":"Jia Zheng","sequence":"additional","affiliation":[]},{"family":"Qin Weifeng","sequence":"additional","affiliation":[]},{"family":"Duan Huilong","sequence":"additional","affiliation":[]},{"family":"Lv Xudong","sequence":"additional","affiliation":[]},{"family":"Li Haomin","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2017: Precision Healthcare through Informatics"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:18:57Z","timestamp":1740154737000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-829-7&spage=427&doi=10.3233\/978-1-61499-830-3-427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-830-3-427","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}