Answers are grounded in this paper and cite their sources.
Background COVID-19 has been spreading globally since emergence, but the diagnostic resources are relatively insufficient. Results In 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. Conclusions External 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.
No takes yet. Share an insight, caveat, or question.
Meng et al. (2020) studied this question.