Open Access
CC BY-NC-ND 4.0 · Sleep Sci 2024; 17(S 01): S1-S89
DOI: 10.1055/s-0045-1811853
Sleep Science Supplement 2024

Machine Learning Helps to Predict Pediatric OSA Based on Clinical Features

Authors

  • Renato Battistel Santana

    1   Universidade Estadual Paulista, São Paulo, SP, Brazil

  • Gustavo Andrade Rosa

    2   Universidade Estadual Paulista, Botucatu, SP, Brazil

  • Arthur Urel

    2   Universidade Estadual Paulista, Botucatu, SP, Brazil

  • Silke Anna Theresa Weber

    2   Universidade Estadual Paulista, Botucatu, SP, Brazil

  • Ricardo Henrique Marcelino

    2   Universidade Estadual Paulista, Botucatu, SP, Brazil

  • Jessica Miwa Takasu

    2   Universidade Estadual Paulista, Botucatu, SP, Brazil

  • Kim Michael Pegorini Souza

    2   Universidade Estadual Paulista, Botucatu, SP, Brazil

  • Danilo Weber Nunes

    3   Ostbayerische Technische Hochschule, Regensburg, Germany
Further Information
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Keywords

pediatric OSA - clinical features - machine learning support vector machine


Publication History

Article published online:
16 September 2025

© 2025. Brazilian Sleep Academy. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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