Logistic Regression Model to Predict the Risk of Contagion of COVID-19 in Patients with Associated Morbidity Using Supervised Machine Learning

Author:

Vergara-Lozano VanessaORCID,Lagos-Ortiz KattyORCID,Chavez-Urbina JennyORCID,Rochina García ChristianORCID

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Pérez, A., Gómez, T., Dieguez, G.: Características clínico-epidemiológicas de la COVID-19. Rev Habanera Ciencias Médicas 2, 1–15 (2020)

2. Tello Carhuanca, R., De La Calle Castro, A.I., Villegas Félix, T.L., Suasnabar Cueva, E.: Factores de comorbilidad y secuelas de covid 19 en trabajadores de un hospital nacional de Huancayo 2021. Visionarios en Cienc y Tecnol 6, 111–121 (2022). https://doi.org/10.47186/visct.v6i2.97

3. Castro Amancio, A., Del-Carpio, S.: Relationship between comorbidities and COVID-19 morbidity and mortality. An la Acad Ciencias Cuba 11, 936 (2021)

4. Díaz Pinzón, J.E.: Underlying comorbidities in Covid-19 related deaths by age group in Colombia. Rev Repert Med y Cirugía 117–121 (2020)

5. Wang, W., Tang, J., Fang, Q., Wei, F.: Updated understanding of the outbreak of 2019 novel coronavirus (2019‐nCoV) in Wuhan, China. J. Med. Virol. 92, 441–447 (2020).https://doi.org/10.1002/jmv.25689

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