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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A review on detection and analysis of psychological disorders using machine learning |
| Authors Name: | K. Kavya , K. Sai Tulasi , Ch. Mounika , M. Kavya , Ramadooss |
| Unique Id: | IJSDR2304195 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | An increasing number of social network mental disorders (SNMDs), such as Cyber-Relationship Addiction, Information Overload, and Net Compulsion, have been recently noted. Symptoms of these mental disorders are usually observed passively today, resulting in delayed clinical intervention. In this paper, we argue that mining online social behavior provides an opportunity to actively identify SNMDs at an early stage. It is challenging to detect SNMDs because the mental factors considered in standard diagnostic criteria (questionnaire) cannot be observed from online social activity logs. Our approach, new and innovative to the practice of SNMD detection, does not rely on self-revealing of those mental factors via questionnaires. Instead, we propose a machine learning framework, namely, Social Network Mental Disorder Detection (SNMDD), that exploits features extracted from social network data to accurately identify potential cases of SNMDs. We also exploit multi-source learning in SNMDD and propose a new SNMDbased Tensor Model (STM) to improve the performance. Our framework is evaluated via a user study with 3126 online social network users. We conduct a feature analysis, and also apply SNMDD on large-scale datasets and analyze the characteristics of the three SNMD types. The results show that SNMDD is promising for identifying online social network users with potential SNMDs. |
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| Cite Article: | "A review on detection and analysis of psychological disorders using machine learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1199 - 1216, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304195.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR2304195 Registration ID:204864 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1199 - 1216 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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