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...

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Detalles Bibliográficos
Autores principales: Galdino, Gabriela Studart, de Sandes-Freitas, Tainá Veras, de Andrade, Luis Gustavo Modelli, Adamian, Caio Manuel Caetano, Meneses, Gdayllon Cavalcante, da Silva Junior, Geraldo Bezerra, de Francesco Daher, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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