The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Machine Learning for Combating Mental Health Stigma
|
|
Author(s): Ankur Kumar (Sant Longowal Institute of Engineering and Technology, India), Abhinav Sharma (Sant Longowal Institute of Engineering and Technology, India), Sanjay Dhanka (Sant Longowal Institute of Engineering and Technology, India)and Surita Maini (Sant Longowal Institute of Engineering and Technology, India)
Copyright: 2025
Pages: 34
Source title:
Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning
Source Author(s)/Editor(s): Rohit Bansal (Stanford Institute of Management and Technology, Australia), Tariq Maqableh (Charles Sturt University, Australia), Gunjan Shuklaa (SICA College, Indore, India), Fazla Rabby (Stanford Institute of Management and Technology, Australia)and Remya Lathabhavan (Indian Institute of Management, Bodh Gaya, India)
DOI: 10.4018/979-8-3693-9341-3.ch014
Purchase
|
Abstract
Stigma around mental health hinders care through discrimination, misconceptions, and shame. Machine learning (ML) offers data-driven solutions to address this, using sentiment analysis and NLP to analyze public attitudes, identify stigmatizing language, and guide awareness campaigns. In healthcare, ML reduces biases, enhances patient interactions, and fosters inclusivity. Personalized education via AI combats misinformation, while advocacy campaigns leverage ML to assess impact. By addressing ethical concerns like bias and privacy, ML can transform mental health stigma reduction.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|