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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/111631
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/111631

    Title: Characteristics of inpatient fever: A case in teaching hospital
    Authors: Tseng, SuFeng;Frank, H.
    Contributors: 資訊管理學系
    Keywords: Artificial intelligence;Codes (symbols);Epidemiology;Co morbidities;Coverage rate;fever;Health records;ICD9-CM;inpatient admission;Hospitals
    Date: 2017-03
    Issue Date: 2017-08-03 14:16:21 (UTC+8)
    Abstract: Over 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.
    Relation: Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, , 128-132
    2016 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 126900
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/CSCI.2016.0031
    DOI: 10.1109/CSCI.2016.0031
    Appears in Collections:[資訊管理學系] 會議論文

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