%0 Journal Article %T Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach %J Journal of Advanced Medical Sciences and Applied Technologies %I Shiraz University of Medical Sciences %Z 2423-5903 %A Butwall, Mani %A Singh, Kinshuk Gaurav %A Pujara, Raj %A Modi, Pranav %A Sharma, Harshvardhan %A Vishwakarma, Arsh %A Salehi, Iman %A Gholamzadeh, Mohammad Javad %A Kamali, Ali-Mohammad %A Kazemiha, Milad %A Chakrabarti, Prasun %A Nami, Mohammad %D 2021 %\ 12/01/2021 %V 6 %N 1 %P 5-13 %! Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach %R 10.30476/jamsat.2021.48381 %X 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 %U https://jamsat.sums.ac.ir/article_48381_77ed71f1acc21b96328773726cd15dcf.pdf