Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score
Abstract Background Pneumonia poses a major global health challenge, necessitating accurate severity assessment tools. However, conventional scoring systems such as CURB-65 have inherent limitations. Machine learning (ML) offers a promising approach for prediction. We previously introduced the Blood...
Furkejuvvon:
| Váldodahkkit: | , , , |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
BMC
2024-05-01
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| Ráidu: | BMC Medical Informatics and Decision Making |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1186/s12911-024-02523-1 |
| Fáddágilkorat: |
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