Predicting the COVID‐19 mortality among Iranian patients using tree‐based models: A cross‐sectional study
Abstract Background and Aims To explore the use of different machine learning models in prediction of COVID‐19 mortality in hospitalized patients. Materials and Methods A total of 44,112 patients from six academic hospitals who were admitted for COVID‐19 between March 2020 and August 2021 were inclu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-05-01
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| Series: | Health Science Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hsr2.1279 |