AN EFFCIET FORCASTING MENTAL HEALTH CONDITION USING MACHINE LEARNING
Main Article Content
Abstract
Nowadays, people are becoming more and more concerned with their physical health, but mental health is not given the same level of attention. Even if they are aware that they have been afflicted by chronic mental illnesses, many people choose not to seek treatment out of fear of what others would think, a belief that they have lost their minds, a dislike of doctors, or all three. These circumstances make it urgently necessary to find a solution so that more individuals are not inclined to mental diseases. This paper focuses on forecasting mental health using deep learning approaches and machine learning algorithm that is support vector machine. Support vector machine is used to solve the existing problem, as many machine learning and deep learning techniques are helping to solve these contemporary difficulties. SVM gives more accuracy compared to other machine learning algorithms to predict the mental illness.
Downloads
Metrics
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
References
Vaishnavi, Konda, et al. ”Predicting Mental Health Illness using Machine Learning Algorithms.” Journal of Physics:
Conference Series. Vol. 2161. No. 1. IOP Publishing, 2022.
R. J. S. A. R. J. C. L. Ariel S. Teles, “Towards Situationaware Mobile Application in Mental Health”,2022.
Satvik G, Chetna P, Ritesh S, Mental Health Prediction Using Machine Learning, International Research Journal of
Engineering and Technology (IRJET), Volume: 09 Issue:12, Dec 2022, Pune, India.
Priya, Anu & Garg, Shruti &Tigga, Neha. (2020). Predicting Anxiety, Depression and Stress in Modern Life using
Machine Learning Algorithms,2020. Procedia Computer Science. 167. 1258-1267. 10.1016/j.procs.2020.03.442.
I. R. M. E. R. R. Ariel Teles, “Mobile Mental Health: A Review of Applications for Depression Assistance,” in 2019
IEEE 32 nd International Symposium on Computer-Based Medical System (CBMS), 2019.
V. M. Vidhi Mody, “Mental Health Monitoring System Using Artificial Intelligence: A Review,” in 2019 5th
International Conference for Convergence in Technology (I2CT), Pune, 2019.
S. G. Alonso, I. Torre-D´ıez, S. Hamrioui, M.lLopezCoronado, D. C. Barreno, L. M. ´ Nozaleda, and M. Franco.
Data Mining Algorithms and Techniques in Mental Health: A Systematic Review. J. Med. Syst. Vol. 42,2018.
U. S. Reddy, A. V. Thota and A. Dharun, ”Machine Learning Techniques for Stress Prediction in Working
Employees,” 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC),
Madurai, India, 2018.
Einstein, A., B. Podolsky, and N. Rosen, 1935, “Can quantum- mechanical description of physical reality be
considered complete?”, Phys. Rev. 47, 777-780.
M. P. Dooshima, E. N. Chidozie, B. J. Ademola, O. O. Sekoni, I. P. Adebayo, A Predictive Model for the Risk of
Mental Illness in Nigeria Using Data Mining, International Journal of Immunology. Vol. 6, No. 1, 2018, pp. 5-16.
M. Srividya, M. Subramaniam and B. Natarajan, “BehavioralModeling for Mental Health using Machine Learning
Algorithms” “Journal of Medical Systems” Vol. 42(5):88 May 2018.
D.Filip& C. Jesus. (2015). A Neural Network Based Model for Predicting Psychological Conditions International
Conference on Brain Informatics and Health 252-261