Symptom-based scoring technique by machine learning to predict COVID-19: a validation study.

ABSTRACT:

Background

Coronavirus disease 2019 (COVID-19) surges, such as that which occurred when omicron variants emerged, may overwhelm healthcare systems. To function properly, such systems should balance detection and workloads by improving referrals using simple yet precise and sensitive diagnostic predictions. A symptom-based scoring system was developed using machine learning for the general population, but no validation has occurred in healthcare settings. We aimed to validate a COVID-19 scoring system using self-reported symptoms, including loss of smell and taste as major indicators.

Methods

A cross-sectional study was conducted to evaluate medical records of patients admitted to Dr. Sardjito Hospital, Yogyakarta, Indonesia, from March 2020 to December 2021. Outcomes were de

SUBMITTER: Vidyanti AN 

PROVIDER: S-EPMC10716953 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature