Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach

Clin Chem Lab Med. 2020 Oct 2;58(12):e299-e302. doi: 10.1515/cclm-2020-0730.

¹ i+HeALTH, European University Miguel de Cervantes, Valladolid, Spain.
² Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid, Spain.
³ Clinical Biochemistry Department, Hospital 12 de Octubre, Madrid, Spain.
⁴ Fissac - Physiology, Health and Physical Activity, Madrid, Spain.
⁵ Systems Biology Department, University of Alcalá, Madrid, Spain.
⁶ Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain.
⁷ Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES), Madrid, Spain.
⁸ Mitochondrial Disorders Laboratory, "Hospital 12 de Octubre" and Spanish Biomedical Network for Rare Disorders (CIBERER), Madrid, Spain.

No abstract available

Keywords: biochemistry; coronavirus; hematology; mortality.

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