Machine Learning Successfully Detects Patients with COVID-19 Prior to PCR Results and Predicts Their Survival Based on Standard Laboratory Parameters in an Observational Study

INTRODUCTION: In the current COVID-19 pandemic, clinicians require a manageable set of decisive parameters that can be used to (i) rapidly identify SARS-CoV-2 positive patients, (ii) identify patients with a high risk of a fatal outcome on hospital admission, and (iii) recognize longitudinal warning...

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Detalles Bibliográficos
Autores principales: Styrzynski, Filip, Zhakparov, Damir, Schmid, Marco, Roqueiro, Damian, Lukasik, Zuzanna, Solek, Julia, Nowicki, Jakub, Dobrogowski, Milosz, Makowska, Joanna, Sokolowska, Milena, Baerenfaller, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638383/
https://www.ncbi.nlm.nih.gov/pubmed/36333475
http://dx.doi.org/10.1007/s40121-022-00707-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638383/
https://www.ncbi.nlm.nih.gov/pubmed/36333475
http://dx.doi.org/10.1007/s40121-022-00707-8

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