LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,149
تعداد مقالات10,519
تعداد مشاهده مقاله45,427,234
تعداد دریافت فایل اصل مقاله11,296,904
Butwall, Mani, Singh, Kinshuk Gaurav, Pujara, Raj, Modi, Pranav, Sharma, Harshvardhan, Vishwakarma, Arsh, Salehi, Iman, Gholamzadeh, Mohammad Javad, Kamali, Ali-Mohammad, Kazemiha, Milad, Chakrabarti, Prasun, Nami, Mohammad. (1400). Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach. سامانه مدیریت نشریات علمی, 6(1), 5-13. doi: 10.30476/jamsat.2021.48381
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. "Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach". سامانه مدیریت نشریات علمی, 6, 1, 1400, 5-13. doi: 10.30476/jamsat.2021.48381
Butwall, Mani, Singh, Kinshuk Gaurav, Pujara, Raj, Modi, Pranav, Sharma, Harshvardhan, Vishwakarma, Arsh, Salehi, Iman, Gholamzadeh, Mohammad Javad, Kamali, Ali-Mohammad, Kazemiha, Milad, Chakrabarti, Prasun, Nami, Mohammad. (1400). 'Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach', سامانه مدیریت نشریات علمی, 6(1), pp. 5-13. doi: 10.30476/jamsat.2021.48381
Butwall, Mani, Singh, Kinshuk Gaurav, Pujara, Raj, Modi, Pranav, Sharma, Harshvardhan, Vishwakarma, Arsh, Salehi, Iman, Gholamzadeh, Mohammad Javad, Kamali, Ali-Mohammad, Kazemiha, Milad, Chakrabarti, Prasun, Nami, Mohammad. Computational Aspects and Statistical Models in Sleeping Disorders; an Apriori Algorithm Approach. سامانه مدیریت نشریات علمی, 1400; 6(1): 5-13. doi: 10.30476/jamsat.2021.48381

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

Journal of Advanced Medical Sciences and Applied Technologies
دوره 6، شماره 1، اسفند 2021، صفحه 5-13    اصل مقاله (751.51 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jamsat.2021.48381
نویسندگان
Mani Butwall1؛ Kinshuk Gaurav Singh1؛ Raj Pujara1؛ Pranav Modi1؛ Harshvardhan Sharma1؛ Arsh Vishwakarma1؛ Iman Salehi2؛ Mohammad Javad Gholamzadeh3؛ Ali-Mohammad Kamali2، 4؛ Milad Kazemiha2، 4؛ Prasun Chakrabarti5؛ Mohammad Nami* 2، 4، 6
1Department of Computer Science, ITM (SLS) Baroda University, Vadodara, India
2DANA Brain Health Institute, Iranian Neuroscience Society-Fars Chapter, Shiraz, Iran
3Students' Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
4Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
5Provost, Techno India JNR, Institute of Technology, Udaipur 313003, Rajasthan, India
6Neuroscience Center, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama City, Republic of Panama
چکیده
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
آمار
تعداد مشاهده مقاله: 4,707
تعداد دریافت فایل اصل مقاله: 820


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب