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Machine Learning (ML) Models to Enhance the Berlin Questionnaire (BQ) Detection of Obstructive Sleep Apnea (OSA) at-Risk Patients

2024-06-17

Abstract excerpt

<h4>Objective: </h4> With just ten questions, the Berlin questionnaire (BQ) stands out as one of the simplest and most widely implemented non-invasive screening tools for detecting subjects at high risk for Obstructive Sleep Apnea (OSA), a still underdiagnosed syndrome characterized by partial or complete obstruction of the upper airways during sleep. The main aim of this study was to enhance the diagnostic accura...

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Literature Corpus work
4d5715be-7cf6-5652-9da5-7050069fdf68
DOI
10.20944/preprints202406.1155.v1
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Machine Learning (ML) Models to Enhance the Berlin Questionnaire (BQ) Detection of Obstructive Sleep Apnea (OSA) at-Risk PatientsDOI 10.20944/preprints202406.1155.v1
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