{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:36:52Z","timestamp":1705106212060},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684802","type":"print"},{"value":"9781643684819","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,12]]},"abstract":"<jats:p>With the development of computer information technology, its application in the medical field has entered a new stage. More and more technologies and methods for clinical decision support have begun to be proposed. Headache, as a chronic disease, is a common symptom among patients in neurology clinics. Headache, as an external manifestation of pain disorders, its diagnosis researches using information technology on its complex diagnostic indicators and processes are limited. This paper aims to construct a hybrid intelligent data mining model of fuzzy C-means clustering algorithm and case-based reasoning technology for computer-aided diagnosis in typical and atypical primary headaches.<\/jats:p>","DOI":"10.3233\/faia231194","type":"book-chapter","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:55:46Z","timestamp":1705064146000},"source":"Crossref","is-referenced-by-count":0,"title":["A Decision Diagnosis Model Based on FCM-CBR Technology for Primary Headache"],"prefix":"10.3233","author":[{"given":"Yanping","family":"Wu","sequence":"first","affiliation":[{"name":"Hangzhou Medical College, Hangzhou, 311399, China"}]},{"given":"Shufeng","family":"Du","sequence":"additional","affiliation":[{"name":"Zhejiang Dahua System Engineering Co., Ltd, Hangzhou, 310051, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Electronics, Communications and Networks"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:55:48Z","timestamp":1705064148000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231194"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"ISBN":["9781643684802","9781643684819"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231194","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}