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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111631

Title:	Characteristics of inpatient fever: A case in teaching hospital
Authors:	Tseng, SuFeng;Frank, H. 鄭夙芬
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 link:	http://dx.doi.org/10.1109/CSCI.2016.0031
DOI:	10.1109/CSCI.2016.0031
Appears in Collections:	[Department of MIS] Proceedings

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