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Development and utilization of an intelligent application for aiding COVID-19 diagnosis
Preprint
in En
| PREPRINT-MEDRXIV
| ID: ppmedrxiv-20035816
ABSTRACT
BackgroundCOVID-19 has been spreading globally since emergence, but the diagnostic resources are relatively insufficient. ResultsIn order to effectively relieve the resource deficiency of diagnosing COVID-19, we developed a machine learning-based diagnosis model on basis of laboratory examinations indicators from a total of 620 samples, and subsequently implemented it as a COVID-19 diagnosis aid APP to facilitate promotion. ConclusionsExternal validation showed satisfiable model prediction performance (i.e., the positive predictive value and negative predictive value was 86.35% and 84.62%, respectively), which guarantees the promising use of this tool for extensive screening.
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Full text:
1
Collection:
09-preprints
Database:
PREPRINT-MEDRXIV
Type of study:
Diagnostic_studies
/
Prognostic_studies
Language:
En
Year:
2020
Document type:
Preprint