Development and validation of a simple machine learning tool to predict mortality in leptospirosis

Development and validation of a simple machine learning tool to predict mortality in leptospirosis

Abstract 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...

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Bibliographic Details
Main Authors: Gabriela Studart Galdino, Tainá Veras de Sandes-Freitas, Luis Gustavo Modelli de Andrade, Caio Manuel Caetano Adamian, Gdayllon Cavalcante Meneses, Geraldo Bezerra da Silva Junior, Elizabeth de Francesco Daher
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-31707-4

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https://doi.org/10.1038/s41598-023-31707-4

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