Towards Machine Learning Algorithms in Predicting the Clinical Evolution of Patients Diagnosed with COVID-19

Towards Machine Learning Algorithms in Predicting the Clinical Evolution of Patients Diagnosed with COVID-19

Predictive modelling strategies can optimise the clinical diagnostic process by identifying patterns among various symptoms and risk factors, such as those presented in cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as coronavirus (COVID-19). In this context, the p...

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Bibliographic Details
Main Authors: Evandro Carvalho de Andrade, Plácido Rogerio Pinheiro, Ana Luiza Bessa de Paula Barros, Luciano Comin Nunes, Luana Ibiapina C. C. Pinheiro, Pedro Gabriel Calíope Dantas Pinheiro, Raimir Holanda Filho
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
machine learning
COVID-19
prediction
medical diagnosis optimisation
Online Access:https://www.mdpi.com/2076-3417/12/18/8939

Internet

https://www.mdpi.com/2076-3417/12/18/8939

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