An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness

An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness

This study introduces a machine learning (ML)-based platform aimed at predicting the effectiveness of Metacognitive Training (MCT). The platform is meant to function as an experimental prototype in the scope of a clinical research project for a decision support system to assist clinicians in tailori...

Full description

Saved in:
Bibliographic Details
Main Authors: Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Maria Lamarca, Vanessa Acuña, Fabrice Berna, Steffen Moritz, Łukasz Gawęda, Susana Ochoa
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Personalized medicine
Explainable artificial intelligence
Feature selection
Fairness
Metacognitive Training
Mental health
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037025003150
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items