Triage of Patients with COVID-19: Using Ensemble Learning Method for Risk Factor Analysis and Death Prediction
| Author | Neda Sadat | en |
| Author | Sharareh R. Niakan Kalhori | en |
| Author | Shahrzad Darvishi | en |
| Author | Jamileh Kiani | en |
| Author | Farhad Abbasi | en |
| Author | Batool Amiri | en |
| Author | Erfan Javanmardi | en |
| Author | Safiyeh Daneshi | en |
| Orcid | Erfan Javanmardi [0000-0003-1752-7784] | en |
| Orcid | Safiyeh Daneshi [0000-0001-8218-7275] | en |
| Issued Date | 2024-01-31 | en |
| Abstract | Background: Early identification of high-risk patients with COVID-19 using non-laboratory data at the time of admission may help the effective use of limited healthcare resources and improve clinical decision-making which reduces cost and time, and consequently the death of patients. | en |
| DOI | https://doi.org/10.69107/koomesh-150060 | en |
| Keyword | COVID-19 | en |
| Keyword | Machine Learning | en |
| Keyword | Risk Factors | en |
| Publisher | Brieflands | en |
| Title | Triage of Patients with COVID-19: Using Ensemble Learning Method for Risk Factor Analysis and Death Prediction | en |
| Type | Research Article | en |
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