ÖZÇELİK, N. Et Al. 2024. Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters. The ERS Congress 2024 , (Viyana, Australia).

ÖZÇELİK, N., ÖZÇELİK, A. E., & BENDEŞ, E., (2024). Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters . The ERS Congress 2024, Viyana, Australia

ÖZÇELİK, NESLİHAN, ALİ ERDEM ÖZÇELİK, And EMRE BENDEŞ. "Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters," The ERS Congress 2024, Viyana, Australia, 2024

ÖZÇELİK, NESLİHAN Et Al. "Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters." The ERS Congress 2024 , Viyana, Australia, 2024

ÖZÇELİK, N. ÖZÇELİK, A. E. And BENDEŞ, E. (2024) . "Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters." The ERS Congress 2024 , Viyana, Australia.

@conferencepaper{conferencepaper, author={NESLİHAN ÖZÇELİK Et Al. }, title={Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters}, congress name={The ERS Congress 2024}, city={Viyana}, country={Australia}, year={2024}}