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https://ah.lib.nccu.edu.tw/handle/140.119/111631| 題名: | Characteristics of inpatient fever: A case in teaching hospital | 作者: | Tseng, SuFeng;Frank, H. 鄭夙芬 |
貢獻者: | 資訊管理學系 | 關鍵詞: | Artificial intelligence; Codes (symbols); Epidemiology; Co morbidities; Coverage rate; fever; Health records; ICD9-CM; inpatient admission; Hospitals | 日期: | Mar-2017 | 上傳時間: | 3-Aug-2017 | 摘要: | 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. | 關聯: | 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 |
資料類型: | conference | DOI: | http://dx.doi.org/10.1109/CSCI.2016.0031 |
| Appears in Collections: | 會議論文 |
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