An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems.

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第一作者： Stephen Wai Hang,Kwok

第一单位： Harry Butler Institute, Murdoch University, Murdoch, Australia.

作者： Stephen Wai Hang,Kwok ^[1] ; Guanjin,Wang ^[2] ; Ferdous,Sohel ^[2] ; Kianoush B,Kashani ^[3] ; Ye,Zhu ^[4] ; Zhen,Wang ^[4] ; Eduardo,Antpack ^[5] ; Kanika,Khandelwal ^[6] ; Sandeep R,Pagali ^[7] ; Sanjeev,Nanda ^[8] ; Ahmed D,Abdalrhim ^[8] ; Umesh M,Sharma ^[9] ; Sumit,Bhagra ^[10] ; Sagar,Dugani ^[7] ; Paul Y,Takahashi ^[11] ; Mohammad H,Murad ^[12] ; Mohammed,Yousufuddin ^[13]

作者单位： Harry Butler Institute, Murdoch University, Murdoch, Australia. ^[1] Department of Information Technology, Murdoch University, Murdoch, Australia. ^[2] Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA. ^[3] Robert D. and Patricia E. Kern Centre for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA. ^[4] Division of Hospital Internal Medicine, Mayo Clinic Health System, Austin, MN, USA. ^[5] Division of Surgery, Mayo Clinic, Rochester, MN, USA. ^[6] Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA. ^[7] Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA. ^[8] Division of Hospital Internal Medicine, Mayo Clinic, Phoenix, AZ, USA. ^[9] Department of Endocrine and Metabolism, Mayo Clinic Health System, Austin, MN, USA. ^[10] Division of Community Internal Medicine, Mayo Clinic, Rochester, MN, USA. ^[11] Robert D. and Patricia E. Kern Centre for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.;Division of Preventive Medicine, Mayo Clinic, Rochester, MN, USA. ^[12] Division of Surgery, Mayo Clinic, Rochester, MN, USA. Yousufuddin.mohammed@mayo.edu.;Hospital Internal Medicine, Mayo Clinic Health System, Mayo Clinic, 1000 1st Drive NW, Austin, MN, USA. Yousufuddin.mohammed@mayo.edu. ^[13]

关键词 COVID-19 Machine learning algorithms Mortality Organ failure Prediction models

主题词成年人(Adult);人类(Humans);回顾性研究(Retrospective Studies);人工智能(Artificial Intelligence);住院(Hospitalization)

DOI 10.1186/s12931-023-02386-6

PMID 36915107

发布时间 2024-09-14

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