Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/111631
DC FieldValueLanguage
dc.contributor資訊管理學系zh_Tw
dc.creatorTseng, SuFeng;Frank, H.en_US
dc.creator鄭夙芬zh_TW
dc.date2017-03en_US
dc.date.accessioned2017-08-03T06:16:21Z-
dc.date.available2017-08-03T06:16:21Z-
dc.date.issued2017-08-03T06:16:21Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/111631-
dc.description.abstractOver a 3-year period, fever is always the most frequent icd9 code in inpatient health records including admission and discharge notes, and over 25% accounted for the top 6 frequent ICD9 codes. In this study, we illustrated the fever-related diseases and comorbidity. Given that 81.193% of fever-related ICD9 codes appear within 14 times, the association rules performed for fever-related comorbidity still managed to improve care with 48.077% coverage rate by proper CPOE. © 2016 IEEE.en_US
dc.format.extent206 bytes-
dc.format.mimetypetext/html-
dc.relationProceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, , 128-132en_US
dc.relation2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016; Las Vegas; United States; 15 December 2016 到 17 December 2016; 類別編號E6020; 代碼 126900en_US
dc.subjectArtificial intelligence; Codes (symbols); Epidemiology; Co morbidities; Coverage rate; fever; Health records; ICD9-CM; inpatient admission; Hospitalsen_US
dc.titleCharacteristics of inpatient fever: A case in teaching hospitalen_US
dc.typeconference
dc.identifier.doi10.1109/CSCI.2016.0031
dc.doi.urihttp://dx.doi.org/10.1109/CSCI.2016.0031
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeconference-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
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