Efficient management strategy of COVID-19 patients based on cluster analysis and clinical decision tree classification
文献类型：期刊论文
| 作者 | Li, Zhi; Wang, Ling; Huang, Lv-shuai; Zhang, Meng ; Cai, Xianhua; Xu, Feng; Wu, Fei; Li, Honghua; Huang, Wencai; Zhou, Qunfang
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| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2021-05-05 |
| 卷号 | 11期号:1页码:- |
| ISSN号 | 2045-2322 |
| 英文摘要 | Early classification and risk assessment for COVID-19 patients are critical for improving their terminal prognosis, and preventing the patients deteriorate into severe or critical situation. We performed a retrospective study on 222 COVID-19 patients in Wuhan treated between January 23rd and February 28th, 2020. A decision tree algorithm has been established including multiple factor logistic for cluster analyses that were performed to assess the predictive value of presumptive clinical diagnosis and features including characteristic signs and symptoms of COVID-19 patients. Therapeutic efficacy was evaluated by adopting Kaplan-Meier survival curve analysis and cox risk regression. The 222 patients were then clustered into two groups: cluster I (common type) and cluster II (high-risk type). High-risk cases can be judged from their clinical characteristics, including: age>50 years, chest CT images with multiple ground glass or wetting shadows, etc. Based on the classification analysis and risk factor analysis, a decision tree algorithm and management flow chart were established, which can help well recognize individuals who needs hospitalization and improve the clinical prognosis of the COVID-19 patients. Our risk factor analysis and management process suggestions are useful for improving the overall clinical prognosis and optimize the utilization of public health resources during treatment of COVID-19 patients. |
| WOS研究方向 | Multidisciplinary Sciences |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45716]  |
| 专题 | 生态环境研究中心_环境化学与生态毒理学国家重点实验室 |
| 作者单位 | 1.Chinese PLA Cent Theater Command, Dept Orthoped, Gen Hosp, Wuhan 430070, Peoples R China 2.Southern Med Univ, Guangzhou 510515, Peoples R China 3.Jianghan Univ, Inst Environm & Hlth, Hubei Key Lab Environm & Hlth Effects Persistent, Wuhan 430056, Peoples R China 4.Gen Hosp Chinese PLA Cent Theater Command, Dept Sci Res Training, Wuhan 430070, Peoples R China 5.Gen Hosp Chinese PLA Cent Theater Command, Dept Neurol, Wuhan 430070, Peoples R China 6.Gen Hosp Chinese PLA Cent Theater Command, Dept Radiol, Wuhan 430070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Zhi,Wang, Ling,Huang, Lv-shuai,et al. Efficient management strategy of COVID-19 patients based on cluster analysis and clinical decision tree classification[J]. SCIENTIFIC REPORTS,2021,11(1):-. |
| APA | Li, Zhi.,Wang, Ling.,Huang, Lv-shuai.,Zhang, Meng.,Cai, Xianhua.,...&Liu, Guoliang.(2021).Efficient management strategy of COVID-19 patients based on cluster analysis and clinical decision tree classification.SCIENTIFIC REPORTS,11(1),-. |
| MLA | Li, Zhi,et al."Efficient management strategy of COVID-19 patients based on cluster analysis and clinical decision tree classification".SCIENTIFIC REPORTS 11.1(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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