Risk Factors Associated with COVID-19 Lethality: A Machine Learning Approach Using Mexico Database-Reference-Cited by-同舟云学术

Risk Factors Associated with COVID-19 Lethality: A Machine Learning Approach Using Mexico Database

Published:2023-08-19 Issue:1 Volume:47 Page:
ISSN:1573-689X
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Carvantes-Barrera Alejandro,Díaz-González Lorena,Rosales-Rivera Mauricio,Chávez-Almazán Luis A.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10916-023-01979-4.pdf

Reference38 articles.

1. WHO Coronavirus (COVID-19) Dashboard (2023) https://covid19.who.int/. Accessed 24 March 2023.

2. WHO characterizes COVID-19 as a pandemic. (2023) https://www.paho.org/en/news/11-3-2020-who-characterizes-covid-19-pandemic. Accessed 24 March 2023.

3. Chen XS, OA Laurent, NN Onur, Kleineberg, GR et al (2021) A systematic review of neurological symptoms and complications of COVID-19. J Neurol 268:392–402. https://doi.org/10.1007/s00415-020-10067-3

4. Interpretable Machine Learning. A Guide for Making Black Box Models Explainable (2023) https://christophm.github.io/interpretable-ml-book/. Accessed 24 March 2023.

5. Datos Abiertos de COVID-19 (2022) https://www.gob.mx/salud/documentos/datos-abiertos-bases-historicas-direccion-general-de-epidemiologia Accessed July 6, 2023.

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