Symptomatic COVID-19 patients develop rather characteristic changes in their routine blood parameters but normally only a small fraction of information contained in routine blood test results is actually extracted. However, machine learning is able to recognize subtle patterns in data and is, therefore, an ideal tool for differentiating patterns observed in blood parameters.
The COVID-19 diagnostic model differentiates COVID-19 from 100 other viral and bacterial diseases, based on only 35 routine blood test results, achieving the sensitivity of 83.5% and specificity of 99.1% (N=4434). The intended use population are subfebrile and febrile adults presenting to the emergency department.
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