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Augmenting Mental Healthcare With Artificial Intelligence, Machine Learning, and Challenges in Telemedicine

Augmenting Mental Healthcare With Artificial Intelligence, Machine Learning, and Challenges in Telemedicine

Sandhya Avasthi, Tanushree Sanwal, Puja Sareen, Suman Lata Tripathi
Copyright: © 2022 |Pages: 16
ISBN13: 9781799887867|ISBN10: 1799887863|ISBN13 Softcover: 9781799887874|EISBN13: 9781799887881
DOI: 10.4018/978-1-7998-8786-7.ch005
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MLA

Avasthi, Sandhya, et al. "Augmenting Mental Healthcare With Artificial Intelligence, Machine Learning, and Challenges in Telemedicine." Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization, edited by Sailesh Suryanarayan Iyer, et al., IGI Global, 2022, pp. 75-90. https://doi.org/10.4018/978-1-7998-8786-7.ch005

APA

Avasthi, S., Sanwal, T., Sareen, P., & Tripathi, S. L. (2022). Augmenting Mental Healthcare With Artificial Intelligence, Machine Learning, and Challenges in Telemedicine. In S. Iyer, A. Jain, & J. Wang (Eds.), Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization (pp. 75-90). IGI Global. https://doi.org/10.4018/978-1-7998-8786-7.ch005

Chicago

Avasthi, Sandhya, et al. "Augmenting Mental Healthcare With Artificial Intelligence, Machine Learning, and Challenges in Telemedicine." In Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization, edited by Sailesh Suryanarayan Iyer, Arti Jain, and John Wang, 75-90. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8786-7.ch005

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Abstract

Artificial intelligence is a huge part of the healthcare industry, having applications and uses in oncology, cardiology, dermatology, and many other fields. Another area where AI is constantly attempting to improve is mental healthcare by integrating machine learning to evaluate data generated by mobile and IoT devices. AI aids in the diagnosis and tailoring of therapy for mentally ill individuals at various stages. The artificial intelligence and machine learning methods utilize electronic health records, mood rating scales, brain images, mobile devices monitoring data in prediction, classification, and grouping of mental health issues, mainly psychiatric illness, suicide attempts, schizophrenia, and depression. The goal of this chapter is to review the literature on artificial intelligence and machine learning algorithms for detecting a person's mental health by utilizing patient health records. In addition, the chapter explains the use of artificial intelligence in curing and monitoring a patient with mental illness through telemedicine.

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