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359165

Predicting Sleep Disorders: Leveraging Sleep Health and Lifestyle Data with Dipper Throated Optimization Algorithm for Feature Selection and Logistic Regression for Classification

Article

Last updated: 29 Dec 2024

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Subjects

-

Tags

Artificial Intelligence

Abstract

This paper is a thorough examination of the modeling of sleep disorders based on machine learning that is applied to the sleep-health-and-lifestyle data. The use of the Dipper Throated Optimization Algorithm for feature selection and Logistic Regression for classification is the basis of the study that explores the effectiveness of predictive models in identifying sleep disorders based on varied sleep metrics and lifestyle factors. The binary Dipper Throated Optimization Algorithm was the most successful with the lowest Average error of 0.71933 uses feature selection as the most effective method, which proves that it is successful the method of choosing the relevant features for predictive modeling. Moreover, Logistic Regression proved to be very efficient in classification; it got an Accuracy of 0.95. The results of these studies support the idea of the personalized treatment and earlier detection of sleep disorders; this, in turn, will be of great help to the progress in sleep health research and healthcare practice.

DOI

10.21608/cjmss.2024.290167.1053

Keywords

Sleep health, Lifestyle factors, Feature Selection, Dipper Throated Optimization Algorithm, Logistic regression

Authors

First Name

El-Sayed M.

Last Name

El-kenawy

MiddleName

-

Affiliation

Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology Mansoura, Egypt

Email

skenawy@ieee.org

City

-

Orcid

0000-0002-9221-7658

First Name

Abdelhameed

Last Name

Ibrahim

MiddleName

-

Affiliation

Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt

Email

afai79@mans.edu.eg

City

-

Orcid

-

First Name

Abdelaziz

Last Name

Abdelhamid

MiddleName

A.

Affiliation

Department of Computer Science, College of Computing and Information Technology, Shaqra University, 11961, Shaqra, Saudi Arabi, Department of Computer Science, Faculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, Egypt

Email

abdelaziz@su.edu.sa

City

-

Orcid

-

First Name

Nima

Last Name

Khodadadi

MiddleName

-

Affiliation

Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL, USA

Email

nima.khodadadi@miami.edu

City

-

Orcid

-

First Name

Laith

Last Name

Abualigah

MiddleName

-

Affiliation

Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan, Computer Science Department, Al al-Bayt University, Mafraq 25113, Jordan, MEU Research Unit, Middle East University, Amman 11831, Jordan., Applied science research center, Applied science private university, Amman 11931, Jordan

Email

aligah.2020@gmail.com

City

-

Orcid

-

First Name

Marwa M.

Last Name

Eid

MiddleName

-

Affiliation

Faculty of Artiļ¬cial Intelligence, Delta University for Science and Technology, Mansoura 11152, Egypt

Email

mmm@ieee.org

City

-

Orcid

-

Volume

3

Article Issue

2

Related Issue

47327

Issue Date

2024-11-01

Receive Date

2024-05-16

Publish Date

2024-11-01

Page Start

341

Page End

358

Print ISSN

2974-3435

Online ISSN

2974-3443

Article File

CJMSS_Volume 3_Issue 2_Pages 341-358.pdf

PDF . 432.4kB

Link

https://cjmss.journals.ekb.eg/article_359165.html

Detail API

https://cjmss.journals.ekb.eg/service?article_code=359165

Order

359,165

Type

Original Article

Type Code

2,545

Publication Type

Journal

Publication Title

Computational Journal of Mathematical and Statistical Sciences

Publication Link

https://cjmss.journals.ekb.eg/

MainTitle

Predicting Sleep Disorders: Leveraging Sleep Health and Lifestyle Data with Dipper Throated Optimization Algorithm for Feature Selection and Logistic Regression for Classification

Details

Type

Article

Created At

29 Dec 2024