Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm

BMC Public Health

Vahid Ebrahimi¹  Mohammad Hossein Khademian²  Robab Sadegh³  Afsaneh Dehbozorgi³  Mehrdad Sharifi⁴  Razieh Sadat Mousavi-Roknabadi⁴  Mohsen Moghadami⁵ 

[1] Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran;Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran;Emergency Medicine Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran;Emergency Medicine Research Center, Shiraz University of Medical Sciences, Shiraz, Iran;Emergency Medicine Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran;Noncommunicable Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran;

关键词: COVID-19;    Elastic-net;    Machine-learning;    Re-infection;    Survival;   

DOI  :  10.1186/s12889-021-12383-3

来源: Springer

【 授权许可】

CC BY