@article { author = {Butwall, Mani and Singh, Kinshuk Gaurav and Pujara, Raj and Modi, Pranav and Sharma, Harshvardhan and Vishwakarma, Arsh and Salehi, Iman and Gholamzadeh, Mohammad Javad and Kamali, Ali-Mohammad and Kazemiha, Milad and Chakrabarti, Prasun and Nami, Mohammad}, title = {Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach}, journal = {Journal of Advanced Medical Sciences and Applied Technologies}, volume = {6}, number = {1}, pages = {5-13}, year = {2021}, publisher = {Shiraz University of Medical Sciences}, issn = {2423-5903}, eissn = {2538-4473}, doi = {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}, keywords = {}, url = {https://jamsat.sums.ac.ir/article_48381.html}, eprint = {https://jamsat.sums.ac.ir/article_48381_77ed71f1acc21b96328773726cd15dcf.pdf} }