Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity.

ABSTRACT: Respiratory diseases are among the major health problems causing a burden on hospitals. Diagnosis of infection and rapid prediction of severity without time-consuming clinical tests could be beneficial in preventing the spread and progression of the disease, especially in countries where health systems remain incapable. Personalized medicine studies involving statistics and computer technologies could help to address this need. In addition to individual studies, competitions are also held such as Dialogue for Reverse Engineering Assessment and Methods (DREAM) challenge which is a community-driven organization with a mission to research biology, bioinformatics, and biomedicine. One of these competitions was the Respiratory Viral DREAM Challenge, which aimed to develop early predictive bioma

SUBMITTER: Isık YE 

PROVIDER: S-EPMC10317018 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature