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

Author(s):

Mani Butwall , Kinshuk Gaurav Singh , Raj Pujara , Pranav Modi , Harshvardhan Sharma , Arsh Vishwakarma , Iman Salehi , Mohammad Javad Gholamzadeh , Ali-Mohammad Kamali , Milad Kazemiha , Prasun Chakrabarti , Mohammad Nami *

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
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
Language:
English
Published:
Journal of Advanced Medical Sciences and Applied Technologies, Volume:6 Issue: 1, Dec 2021
Pages:
5 to 13
https://www.magiran.com/p2432591