Clinical Hematochemical Parameters in Differential Diagnosis between Pediatric Sars-CoV-2 and Influenza Virus Infection
An Automated Machine Learning Approach
Bibliographic Data
| ID | 15716596 |
|---|---|
| Authors | Dejan Dobrijević (0000-0002-8726-1953, Institute of Public Health of Vojvodina, corresponding author), Jelena Antić (University of Novi Sad), Goran Rakić (0000-0001-5974-4002, University of Novi Sad), Jasmina Katanić (0000-0002-0349-6799, Institute of Public Health of Vojvodina), Ljiljana Andrijević (0000-0003-0676-7985, University of Novi Sad), Kristian Pastor (0000-0003-0890-8171, University of Novi Sad) |
| Year | 2023 |
| Volume | 10 |
| Issue | 5 |
| Pages | 761-761 |
| Publication date | 2023-04-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children (JOURNAL) |
| Journal identifiers | ISSN: 2227-9067 • E-ISSN: 2227-9067 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/children10050761 |
| PMID | 37238309 |
| OpenAlex | W4366826302 |
| Language | EN |
| Citations received | 1 |
| References cited | 23 |
The application of automated machine learning in clinical practice can contribute to more objective, accurate, and rapid diagnosis of SARS-CoV-2 and influenza virus infections in children
Artificial neural network · Decision tree · Logistic regression · Machine learning · Random forest · Support vector machine · Transmission (telecommunications · Triage · Computer Science · COVID-19 Clinical Research Studies · COVID-19 diagnosis using AI · Medicine · Respiratory viral infections research · Artificial Intelligence
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |