Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period

Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period

Abstract Diagnostic and decision-making processes in the 2019 Coronavirus treatment have combined new standards using patient chest images, clinical and laboratory data. This work presents a systematic review aimed at studying the Artificial Intelligence (AI) approaches to the patients’ diagnosis or...

Full description

Bibliographic Details
Main Authors: Leandro Y. Mano, Alesson M. Torres, Andres Giraldo Morales, Carla Cristina P. Cruz, Fabio H. Cardoso, Sarah Hannah Alves, Cristiane O. Faria, Regina Lanzillotti, Renato Cerceau, Rosa Maria E. M. da Costa, Karla Figueiredo, Vera Maria B. Werneck
Format: Article
Language:English
Published: Springer 2023-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
COVID-19
Machine learning
Image data
Clinical and laboratorial data
Diagnosis/outcome
Online Access:https://doi.org/10.1007/s44196-023-00236-3

Internet

https://doi.org/10.1007/s44196-023-00236-3

Similar Items