Decoding the night: A machine learning approach to predict the severity of obstructive sleep apnea through clinical parameters

Access

info:eu-repo/semantics/closedAccess

Date

2024

Author

Özçelik, Ali Erdem
Bendeş, Emre
Özçelik, Neslihan

Metadata

Show full item record

Citation

Özçelik, A. E., Bendes, E., & Özçelik, N. (2024). Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters. In ERS Congress 2024 abstracts (p. PA4478). European Respiratory Society, 64, 68. https://doi.org/10.1183/13993003.congress-2024.pa4478

Abstract

....

Source

European Respiratory Journal

Volume

64

URI

https://doi.org/10.1183/13993003.congress-2024.pa4478
https://hdl.handle.net/11436/9936

Collections