249 citations · 444 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 13 cited
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values
Gregor Gunčar, Matjaž Kukar, Tim Smole +9
The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Viru…
physics.med-ph2020★ 182 cited
COVID-19 diagnosis by routine blood tests using machine learning
Matjaž Kukar, Gregor Gunčar, Tomaž Vovko +7
Physicians taking care of patients with coronavirus disease (COVID-19) have described different changes in routine blood parameters. However, these changes, hinder them from perfor…
stat.ML2017★ 249 cited
Application of machine learning for hematological diagnosis
Gregor Gunčar, Matjaž Kukar, Mateja Notar +4
Quick and accurate medical diagnosis is crucial for the successful treatment of a disease. Using machine learning algorithms, we have built two models to predict a hematologic dise…