Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.

ABSTRACT: COVID-19 pandemic has flooded all triage stations, making it difficult to carefully select those most likely infected. Data on total patients tested, infected, and hospitalized is fragmentary making it difficult to easily select those most likely to be infected. The Israeli Ministry of Health made public its registry of immediate clinical data and the respective status of infected/not infected for all viral DNA tests performed up to Apr. 18th, 2020 including almost 120,000 tests. We used a machine-learning algorithm to find out which immediate clinical elements mattered the most in identifying the true status of the tested persons including age or gender matter, to enable future better allocation of surveillance policy for those belonging to high-risk groups. In addition to the analyses ap

SUBMITTER: Yousef M 

PROVIDER: S-EPMC8035960 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature