Article

Optimized Machine Learning Algorithms for the Classification and Diagnosis of Sleep Disorders

2025-10-07

Abstract excerpt

<h4>ABSTRACT</h4> Sleep disorders, including insomnia and obstructive sleep apnea, affect millions of individuals worldwide but are frequently undetected due to the high cost, limited availability, and complexity of conventional diagnostic tools such as polysomnography. This study presents an interpretable machine learning framework for multi-class sleep disorder classification that utilizes routine clinical and...

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Literature Corpus work: 8a8290c3-2bd1-5a73-a9b8-691517a871cb
DOI: 10.1101/2025.10.07.25337263

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