Evaluating AI-Driven Mental Health Solutions: A Hybrid Fuzzy Multi-Criteria Decision-Making Approach

Evaluating AI-Driven Mental Health Solutions: A Hybrid Fuzzy Multi-Criteria Decision-Making Approach

Background: AI-driven mental health solutions offer transformative potential for improving mental healthcare outcomes, but identifying the most effective approaches remains a challenge. This study addresses this gap by evaluating and prioritizing AI-driven mental health alternatives based on key cri...

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Bibliographic Details
Main Authors: Yewande Ojo, Olasumbo Ayodeji Makinde, Oluwabukunmi Victor Babatunde, Gbotemi Babatunde, Subomi Okeowo
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:AI
Subjects:
AI-driven mental health solutions
hybrid fuzzy multi-criteria decision-making (MCDM)
fuzzy TOPSIS and fuzzy ARAS methods
personalization of care
user engagement
Online Access:https://www.mdpi.com/2673-2688/6/1/14
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