Personalized cognitive training: individual-level meta-analysis implementing machine learning methods

Autor: Shani, Reut
Rok vydání: 2022
Předmět:
DOI: 10.17605/osf.io/25cwe
Popis: Accumulating evidence suggests that cognitive training may enhance well-being. Yet, mixed findings imply that individual differences and training specific characteristics may interact to moderate training efficacy. To investigate this possibility, the current study is a data-driven individual-level meta-analysis aimed to develop personalized cognitive training. Planned analyses incorporate machine learning algorithms designed to identify individuals most responsive to cognitive training in general and to discern which methods may be a better fit for certain individuals.
Databáze: OpenAIRE