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Development and validation of a simple machine learning tool to predict mortality in leptospirosis
Predicting risk factors for death in leptospirosis is challenging, and identifying high-risk patients is crucial as it might expedite the start of life-saving supportive care. Admission data of 295 leptospirosis patients were enrolled, and a machine-learning approach was used to fit models in a deri...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024714/ https://www.ncbi.nlm.nih.gov/pubmed/36934135 http://dx.doi.org/10.1038/s41598-023-31707-4 |