DeepAI AI Chat
Log In Sign Up

COVID-19 diagnosis by routine blood tests using machine learning

by   Matjaž Kukar, et al.

Physicians taking care of patients with coronavirus disease (COVID-19) have described different changes in routine blood parameters. However, these changes, hinder them from performing COVID-19 diagnosis. We constructed a machine learning predictive model for COVID-19 diagnosis. The model was based and cross-validated on the routine blood tests of 5,333 patients with various bacterial and viral infections, and 160 COVID-19-positive patients. We selected operational ROC point at a sensitivity of 81.9 cross-validated area under the curve (AUC) was 0.97. The five most useful routine blood parameters for COVID19 diagnosis according to the feature importance scoring of the XGBoost algorithm were MCHC, eosinophil count, albumin, INR, and prothrombin activity percentage. tSNE visualization showed that the blood parameters of the patients with severe COVID-19 course are more like the parameters of bacterial than viral infection. The reported diagnostic accuracy is at least comparable and probably complementary to RT-PCR and chest CT studies. Patients with fever, cough, myalgia, and other symptoms can now have initial routine blood tests assessed by our diagnostic tool. All patients with a positive COVID-19 prediction would then undergo standard RT-PCR studies to confirm the diagnosis. We believe that our results present a significant contribution to improvements in COVID-19 diagnosis.


page 1

page 2

page 3

page 4


CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning

Coronavirus disease 2019 (COVID-19) is the highly contagious illness cau...

Application of machine learning for hematological diagnosis

Quick and accurate medical diagnosis is crucial for the successful treat...

Diagnosis of COVID-19 and Non-COVID-19 Patients by Classifying Only a Single Cough Sound

In this study, we proposed a machine learning-based system to distinguis...

A multimodal method based on cross-attention and convolution for postoperative infection diagnosis

Postoperative infection diagnosis is a common and serious complication t...

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests

The COVID-19 is sweeping the world with deadly consequences. Its contagi...