Federico Cabitza, Andrea Campagner, Davide Ferrari, Chiara Di Resta, Daniele Ceriotti, Eleonora Sabetta, Alessandra Colombini, Elena De Vecchi, Giuseppe Banfi, Massimo Locatelli, Anna Carobene
Objectives The rRT-PCR test, the current gold standard for the detection of coronavirus disease (COVID-19), presents with known shortcomings, such as long turnaround time, potential shortage of reagents, false-negative rates around 15-20%, and expensive equipment. The hematochemical values of routine blood exams could represent a faster and less expensive alternative. Methods Three different training data set of hematochemical values from 1,624 patients (52% COVID-19 positive), admitted at San Raphael Hospital (OSR) from February to May 2020, were used for developing machine learning (ML) models: the complete OSR dataset (72 features: complete blood count (CBC), biochemical, coagulation, hemogasanalysis and CO-Oxymetry values, age, sex and specific symptoms at triage) and two sub-datasets (COVID-specific and CBC dataset, 32 and 21 features respectively)...
October 21, 2020: Clinical Chemistry and Laboratory Medicine: CCLM