Symptoms Predicting SARS-CoV-2 Test Results in Resident Physicians and Fellows in New York City

Accurate prediction of SARS-CoV-2 infection based on symptoms can be a cost-efficient tool for remote screening in healthcare settings with limited SARS-CoV-2 testing capacity. We used a machine learning approach to determine self-reported symptoms that best predict a positive SARS-CoV-2 test result...

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Bibliographic Details
Main Authors: Tania P. Chen, Meizhen Yao, Vishal Midya, Betty Kolod, Rabeea F. Khan, Adeyemi Oduwole, Bernard Camins, I. Michael Leitman, Ismail Nabeel, Kristin Oliver, Damaskini Valvi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:COVID
Subjects:
Online Access:https://www.mdpi.com/2673-8112/3/5/49