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As the number of cases for COVID-19 continues to grow unprecedentedly, COVID-19 screening is becoming more important. In this study, we trained machine learning models from the Israel COVID-19 dataset… Click to show full abstract
As the number of cases for COVID-19 continues to grow unprecedentedly, COVID-19 screening is becoming more important. In this study, we trained machine learning models from the Israel COVID-19 dataset and compared models that used surveillance indices of COVID-19 and those that did not. The AUC scores were 0.8478±0.0037 and 0.8062±0.005 with and without surveillance information, respectively, and there was significant improvement when the surveillance information was used.
Keywords:
based covid19;
surveillance;
surveillance information;
covid19 screening;
symptom based
Journal Title: Studies in health technology and informatics
Year Published: 2022
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Journal Title: Studies in health technology and informatics
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!