Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning
Abstract
Accurate diagnostic strategies to identify SARS-CoV-2 positive individuals rapidly for management of patient care and protection of health care personnel are urgently needed. The predominant diagnostic test is viral RNA detection by RT-PCR from nasopharyngeal swabs specimens, however the results are not promptly obtainable in all patient care locations. Routine laboratory testing, in contrast, is readily available with a turn-around time (TAT) usually within 1-2 hours.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 30, 2020
- Source ID
- 10.1093/clinchem/hvaa200
Entities
People
- Amy Chadburn
- Fei Wang
- He S. Yang
- Ljiljana V Vasovic
- Massimo Loda
- Melissa M Cushing
- Peter A D Steel
- Priya Velu
- Rainu Kaushal
- Sabrina E Racine-brzostek
- Yu Hou
- Zhen Zhao
Organizations
- National Science Foundation
- NewYork–Presbyterian Hospital
- Office of Naval Research
- Weill Cornell Medicine