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@article{170413,
        author = {Himanshu R.Dodiya and Divya R. Solanki and Mansi H. Chauhan and Mukesh M. Patel},
        title = {Analysis of Algorithms of AI Prediction on Mental Health},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {1228-1231},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170413},
        abstract = {Artificial Intelligence (AI) has emerged as a transformative tool in mental health diagnostics and prediction, leveraging complex algorithms to process vast datasets and provide insights into psychiatric conditions. This paper reviews the application of various AI algorithms in predicting mental health issues, focusing on machine learning (ML), deep learning, and hybrid approaches. The paper also discusses the strengths, limitations, and ethical considerations of these algorithms in practical settings. This paper surveys state-of-the-art AI techniques for predicting mental health outcomes, detailing algorithmic designs, application scenarios, and challenges.},
        keywords = {Health, Mental, Artificial Intelligence},
        month = {December},
        }