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Mortality prediction in severe sepsis or septic shock using MIMIC-Ⅲ database

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成果类型:
期刊论文
作者:
Yang Kongzhi;Song Kun;Guo Cuirong;Ding Ning;Li Changluo
作者机构:
[Yang Kongzhi] Hunan university of Chinese Medicine,Graduate,choolChangsha,China
[Guo Cuirong; Ding Ning; Song Kun; Li Changluo] The Affiliated Changsha Central Hospital,Hengyang Medical School,University of South China,Changsha,China.
语种:
中文
期刊:
实用休克杂志(中英文)
ISSN:
2096-4544
年:
2021
卷:
5
期:
06
页码:
375-384
机构署名:
本校为第一机构
院系归属:
研究生院
摘要:
Background A model which can early and sensitively identify poor clinical outcome in short-term and long-term could be a useful tool to help physicians to assess the severity of the dis-ease and early onset of therapeutic measures would be implemented in order to improve the prognosis of sepsis patients. This present study aimed to develop early predictive models for clinical outcomes based on a public database. Methods In the Medical Information Mart for Intensive Care-Ⅲ (MIMIC-Ⅲ)database,patients with severe sepsis or septic shock were incl...

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