An In-Depth Analysis of Sleep Disorder Diagnosis Utilizing Machine Learning Methodologies

Bharati Rathod, Manujakshi B. C.

2025

Abstract

Millions of people worldwide suffer from sleep disorders. If not treated and diagnosed, this disorder further turns into severe health conditions. Accurate and timely diagnosis is essential for proper management and better patient outcomes. The review critically examines Machine Learning (ML) techniques used to diagnose sleep disorders and examines 50 articles published between 2018 and 2025. The survey categorizes the existing studies based on data acquisition techniques, feature extraction techniques, classification methods and performance evaluation. Comparative evaluation identifies the strengths and weaknesses of other methodologies to resolve salient issues like variability in the dataset, consistency in the model and computation costs. Additionally, the paper also introduces research required such as demands of varied data and improved generalization of machine learning algorithms. Being a systematic review paper, the work is intended to contribute to knowledge and research in order to improve accurate and effective sleep disorder diagnostic methods.

Paper Citation

in Harvard Style

Rathod B. and C. M. (2025). An In-Depth Analysis of Sleep Disorder Diagnosis Utilizing Machine Learning Methodologies. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 135-144. DOI: 10.5220/0013879000004919

in Bibtex Style

@conference{icrdicct`2525,
author={Bharati Rathod and Manujakshi C.},
title={An In-Depth Analysis of Sleep Disorder Diagnosis Utilizing Machine Learning Methodologies},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={135-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013879000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - An In-Depth Analysis of Sleep Disorder Diagnosis Utilizing Machine Learning Methodologies
SN - 978-989-758-777-1
AU - Rathod B.
AU - C. M.
PY - 2025
SP - 135
EP - 144
DO - 10.5220/0013879000004919
PB - SciTePress