Journal of Advanced Medical Sciences and Applied Technologies

Journal of Advanced Medical Sciences and Applied Technologies

Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach

Document Type : Original Article

Authors
Mani Butwall 1
Kinshuk Gaurav Singh 1
Raj Pujara 1
Pranav Modi 1
Harshvardhan Sharma 1
Arsh Vishwakarma 1
Iman Salehi 2
Mohammad Javad Gholamzadeh 3
Ali-Mohammad Kamali 2, 4
Milad Kazemiha 2, 4
Prasun Chakrabarti 5
Mohammad Nami 2, 4, 6
1 Department of Computer Science, ITM (SLS) Baroda University, Vadodara, India
2 DANA Brain Health Institute, Iranian Neuroscience Society-Fars Chapter, Shiraz, Iran
3 Students' Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
4 Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
5 Provost, Techno India JNR, Institute of Technology, Udaipur 313003, Rajasthan, India
6 Neuroscience Center, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama City, Republic of Panama
10.30476/jamsat.2021.48381
Abstract
Sleep disorders are very common in today’s world as we all are living a relatively competitive life; where we undervalue our mental health. There are some sleep disorders that share almost similar symptoms yet various pathological underpinnings leading to clinical misjudgments; thereby resulting in the inappropriate treatments. The present study has attempted to investigate possible correlation between various types of sleep predicaments. To do so; we used multiple statistical analysis algorithms as well as prediction models on our database and performed manual testing to draw our conclusion. Our analyses revealed that sleep disorders; and namely sleep apnea-hypopnea syndrome; tend to present with related comorbidities
Journal of Advanced Medical Sciences and Applied Technologies
Volume 6, Issue 1
December 2021
Pages 5-13