Machine Learning Applied to the Analysis of Prolonged COVID Symptoms: An Analytical Review

• Published in: Informatics (Basel) Vol. 11; no. 3; p. 48
• Main Authors: Ariza-Colpas, Paola Patricia, Piñeres-Melo, Marlon Alberto, Urina-Triana, Miguel Alberto, Barceló-Martinez, Ernesto, Barceló-Castellanos, Camilo, Roman, Fabian
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2024
• Subjects: Algorithms; analytical review; Artificial intelligence; Citations; Collaboration; Coronaviruses; COVID-19; Emergency management; health informatics; Homeopathy; Keywords; Leaves; Machine learning; Materia medica and therapeutics; prolonged symptoms; Public health; Science; Scientometrics; Signs and symptoms; symptom analysis; Therapeutics; Trends; Viral diseases; Colombia

The COVID-19 pandemic continues to constitute a public health emergency of international importance, although the state of emergency declaration has indeed been terminated worldwide, many people continue to be infected and present different symptoms associated with the illness. Undoubtedly, solution...