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Bhavsar, Yashvi, Mistry, Khyati, Parikh, Nishchay, Shah, Himani, Saraswat, Adarsh, Givian, Helia, Barzegar, Mojataba, Hosseini, Maryam, Rahimi Jaberi, Khojaste, Magare, Archana, Gholamzadeh, Mohammad Javad, Aligholi, Hadi, Kamali, Ali-Mohammad, Chakrabarti, Prasun, Nami, Mohammad. (1400). Artificial intelligence and stochastic processbased analysis of human psychiatric disorders. سامانه مدیریت نشریات علمی, 6(1), 33-53. doi: 10.30476/jamsat.2021.48384
Yashvi Bhavsar; Khyati Mistry; Nishchay Parikh; Himani Shah; Adarsh Saraswat; Helia Givian; Mojataba Barzegar; Maryam Hosseini; Khojaste Rahimi Jaberi; Archana Magare; Mohammad Javad Gholamzadeh; Hadi Aligholi; Ali-Mohammad Kamali; Prasun Chakrabarti; Mohammad Nami. "Artificial intelligence and stochastic processbased analysis of human psychiatric disorders". سامانه مدیریت نشریات علمی, 6, 1, 1400, 33-53. doi: 10.30476/jamsat.2021.48384
Bhavsar, Yashvi, Mistry, Khyati, Parikh, Nishchay, Shah, Himani, Saraswat, Adarsh, Givian, Helia, Barzegar, Mojataba, Hosseini, Maryam, Rahimi Jaberi, Khojaste, Magare, Archana, Gholamzadeh, Mohammad Javad, Aligholi, Hadi, Kamali, Ali-Mohammad, Chakrabarti, Prasun, Nami, Mohammad. (1400). 'Artificial intelligence and stochastic processbased analysis of human psychiatric disorders', سامانه مدیریت نشریات علمی, 6(1), pp. 33-53. doi: 10.30476/jamsat.2021.48384
Bhavsar, Yashvi, Mistry, Khyati, Parikh, Nishchay, Shah, Himani, Saraswat, Adarsh, Givian, Helia, Barzegar, Mojataba, Hosseini, Maryam, Rahimi Jaberi, Khojaste, Magare, Archana, Gholamzadeh, Mohammad Javad, Aligholi, Hadi, Kamali, Ali-Mohammad, Chakrabarti, Prasun, Nami, Mohammad. Artificial intelligence and stochastic processbased analysis of human psychiatric disorders. سامانه مدیریت نشریات علمی, 1400; 6(1): 33-53. doi: 10.30476/jamsat.2021.48384

Artificial intelligence and stochastic processbased analysis of human psychiatric disorders

Journal of Advanced Medical Sciences and Applied Technologies
دوره 6، شماره 1، اسفند 2021، صفحه 33-53    اصل مقاله (768.46 K)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.30476/jamsat.2021.48384
نویسندگان
Yashvi Bhavsar1؛ Khyati Mistry1؛ Nishchay Parikh1؛ Himani Shah1؛ Adarsh Saraswat1؛ Helia Givian2؛ Mojataba Barzegar3، 4، 5؛ Maryam Hosseini6؛ Khojaste Rahimi Jaberi6؛ Archana Magare1؛ Mohammad Javad Gholamzadeh7؛ Hadi Aligholi6؛ Ali-Mohammad Kamali6؛ Prasun Chakrabarti8؛ Mohammad Nami* 5، 6، 9
1Department of Computer Science and Engineering, Institute of Technology & Management Universe, Dhanora Tank Road, Near Jarod, Vadodara - 391510, Gujarat, India
2Preclinical Core Facility, Tehran University of Medical Sciences, Tehran, Iran
3Intelligent quantitative biomedical imaging (iqbmi), Tehran, 1955748171, Iran
4School of Medical Physics and Medical Engineering, Tehran University of Medical Sciences, Tehran, 14399-55991, Iran
5Society for Brain Mapping and Therapeutics (SBMT), Brain Mapping Foundation (BMF), Middle East Brain + Initiative, Los Angeles, CA 90272, CA, USA
6Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, 71348-14336, Iran
7Students' Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
8Provost, Techno India JNR, Institute of Technology, Udaipur 313003, Rajasthan, India
9Neuroscience Center, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama City, Republic of Panama
چکیده
This paper contains an analysis and comparison of different classifiers on different datasets
of Psychiatric Disorders- Personality Disorder, Depression, Anxiety, Schizophrenia
and Alzheimer's disease. Psychiatric disorders are also referred to as mental disorders,
abnormalities of the mind that result in persistent behavior which can seriously cause day
to day function and life. Stochastic in AI refers to if there is any uncertainty or randomness
involved in results and are used during optimization; Using this process also helps to
provide precise results. The study of stochastic process in AI uses mathematical knowledge
and techniques from probability, set theory, calculus, linear algebra and mathematical
analysis like Fourier analysis, real analysis, and functional analysis. this technique is used
to construct neural network for making artificial intelligent mode for processing and
minimizing human effort. This paper contains classifiers like SVM, MLP, LR, KNN, DT,
and RF. Several types of attributes are used and have been trained by Weka tool, MATLAB,
and Python. The results show that the SVM classifier showed the best performance for all
the attributes and disorders researched in this paper.
کلیدواژه‌ها
Alzheimer’s disease؛ Anxiety؛ Artificial Intelligence؛ Depression؛ DT؛ KNN؛ Logistic Regression؛ MLP؛ Personality Disorder؛ RF؛ Schizophrenia؛ SVM
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