Toward a Machine Learning Predictive-Oriented Approach to Complement Explanatory Modeling. An Application for Evaluating Psychopathological Traits Based on Affective Neurosciences and Phenomenology

Toward a Machine Learning Predictive-Oriented Approach to Complement Explanatory Modeling. An Application for Evaluating Psychopathological Traits Based on Affective Neurosciences and Phenomenology

This paper presents a procedure that aims to combine explanatory and predictive modeling for the construction of new psychometric questionnaires based on psychological and neuroscientific theoretical grounding. It presents the methodology and the results of a procedure for items selection that consi...

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Bibliographic Details
Main Authors: Pasquale Dolce, Davide Marocco, Mauro Nelson Maldonato, Raffaele Sperandeo
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Psychology
Subjects:
machine learning
predictive modeling
explanatory modeling
item selection
neural networks
psychopathological assessment
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2020.00446/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2020.00446/full

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