 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: May 2026
Volume 11 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24205
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Automated Sleep Disorder Detection Using Hybrid AI models |
| Authors Name: | Mrs. R. Sravani , BASAVA JAHNAVI , GUGGILAPU SATYA SAI ARVIND , NADUPURI GAYATHRI , INAPAKURTHI VENKATESH |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_211956
|
| Published Paper Id: | IJRTI2604300 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | This project proposes a hybrid framework for the early detection of sleep disorders, specifically insomnia and sleep apnea, which significantly impact physical health and cognitive performance. To address the limitations of traditional diagnostic methods, patient health parameters such as age, gender, sleep duration, sleep quality, BMI, heart rate, height, weight, steps, stress, physical activity, occupation, and blood pressure are analysed. A Convolutional Neural Network (CNN) is utilized for feature extraction, while the Synthetic Minority Over-sampling Technique (SMOTE) handles class imbalance. Classification is performed using a voting ensemble of Gradient Boosting, Naive Bayes, Quadratic Discriminant Analysis (QDA), and Random Forest, with Random Forest improving generalization and reducing overfitting. The system categorizes individuals into Normal, Sleep Apnea, and Insomnia and is deployed through a Flask-based web application, enabling real-time, cost-effective, and scalable healthcare monitoring and decision support. |
| Keywords: | Keywords: Sleep Disorder Detection, CNN, Random Forest, Gradient Boosting, Ensemble Learning, SMOTE, Healthcare AI |
| Cite Article: | "Automated Sleep Disorder Detection Using Hybrid AI models ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c225-c231, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604300.pdf |
| Downloads: | 000205515 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2604300
Registration ID:211956
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c225-c231 Country: Garividi, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604300 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604300 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||