Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters - Vienna 2024

Exploring novel dimensions in the management of sleep-disordered breathing

Chair(s): Elisa Perger, Dimitrios Kantas

Session type: Poster session

Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters

Neslihan ?z?elik

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Apnea index, aerobic capacity, and maximal respiratory pressures in untreated sleep apnea patients. Colombia

John Castillo

Poster

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Air sampling from PAP devices: Gone with the wind?

Olivia Mcguiness

Poster

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Effects of CPAP and its withdrawal on cardiovascular outcomes in patients with obstructive sleep apnoea - a two phase interventional trial

Jo?l Julien Herzig

Poster

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Streamlining Sleep Study Access: A Quality Improvement Initiative Utilizing Home Sleep Studies and Virtual Clinics

Aoife Bradley

Poster

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The usefulness of an intra-oral tongue stimulation device

Chieri Kuroki

Poster

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Impact on symptomatic control and quality of life in patients with OSA and CPAP intolerance treated with mandibular advancement device after 5 years of follow-up.

Laura Lago Lagunas

Poster

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Investigating low-pressure AI-enabled PAP therapy without compromising AHI: a win for all OSA patients

Hamed Hanafi

Poster

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Decoding the Night: A Machine Learning Approach to Predict the Severity of Obstructive Sleep Apnea through Clinical Parameters

Neslihan ?z?elik

Poster

Abstract

Neuromuscular electrical stimulation therapy and obstructive sleep apnoea hypopnoea syndrome is it effective in the real world?

Charlotte Elson

Poster

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Evaluation of a radar-based XeThru sensor to assess respiratory rate in suspected OSA

Matteo Bradicich

Poster

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The impact of comorbid asthma on obstructive sleep apnoea outcomes

Afsan Bulbul

Poster

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Inspiratory mallampati: a novel extension of modified mallampati for enhanced airway assessment

Hind Eid

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OSA diagnosis by respiratory movement analysis using a conventional smartphone 3D camera

Aida Mu?oz Ferrer

Poster

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IS OSCILLOMETRY USEFUL IN OBSTRUCTIVE SLEEP APNEA?

Adriana Rodriguez Perojo

Poster

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Diaphragm shortening and EMG activity during Continuous Positive Airway Pressure

Woosurng Lee

Poster

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Crural and costal diaphragm activity diverge during REM sleep

Hiromitsu Kuroda

Poster

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Usage of adaptive servo-ventilation (ASV): results from the READ-ASV registry

Michael Arzt

Poster

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Enhancing Patient Stratification in Suspected Obstructive Sleep Apnea: Introducing a Novel Intelligent Decision Support System

Manuel Casal-guisande

Poster

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Screening moderate to severe obstructive sleep apnea with wearable device

James Tisyakorn

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Late Breaking Abstract - Generating realistic flow limitation patterns using a closed-loop model controlling a mechanical valve

Mate Ferencz

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CDN Connection Issue

The ERS Congress 2024, Vienna

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