Welcome to the InfoSci Platform
Reference Hub1
Artificial Intelligence and Machine Learning-Based Advanced Depression Detection System

Artificial Intelligence and Machine Learning-Based Advanced Depression Detection System

Suvarna Patil, Neha More, Animesh Bhawtankar, Vishal Pratap Jagtap, Anjali Jadhav
Copyright: © 2022 |Pages: 23
ISBN13: 9781799877097|ISBN10: 1799877094|EISBN13: 9781799877103
DOI: 10.4018/978-1-7998-7709-7.ch006
Cite Chapter Cite Chapter

MLA

Patil, Suvarna, et al. "Artificial Intelligence and Machine Learning-Based Advanced Depression Detection System." Handbook of Research on Applied Intelligence for Health and Clinical Informatics, edited by Anuradha Dheeraj Thakare, et al., IGI Global, 2022, pp. 92-114. https://doi.org/10.4018/978-1-7998-7709-7.ch006

APA

Patil, S., More, N., Bhawtankar, A., Jagtap, V. P., & Jadhav, A. (2022). Artificial Intelligence and Machine Learning-Based Advanced Depression Detection System. In A. Thakare, S. Wagh, M. Bhende, A. Anter, & X. Gao (Eds.), Handbook of Research on Applied Intelligence for Health and Clinical Informatics (pp. 92-114). IGI Global. https://doi.org/10.4018/978-1-7998-7709-7.ch006

Chicago

Patil, Suvarna, et al. "Artificial Intelligence and Machine Learning-Based Advanced Depression Detection System." In Handbook of Research on Applied Intelligence for Health and Clinical Informatics, edited by Anuradha Dheeraj Thakare, et al., 92-114. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7709-7.ch006

Export Reference

Mendeley
Favorite

Abstract

Depression can be called a health issue that majorly affects the stability of the mind. Depression can also be called a mood disorder or mental illness that affects our mental state. Depression can affect a person mentally and physically. According to WHO, 264 million people in the world are affected because of depression. At its worst, depression can lead to suicide. About 8 million people commit suicide every year because of depression. It is not possible for one to live with depression, but if they get proper treatment at a right time, depression can be controlled and cured to help the person to live a quality life. To identify the level of depression of a person, we have to first identify the type of depression the patient is going through. The type of depression plays a very important role in determining the kind of treatment or help a depressed person needs by providing them various treatments. The authors propose a solution for detection of depression type and depression levels using advanced machine learning and artificial intelligence algorithms.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.