ArticleFrontiers in behavioral neuroscience2019
Can Machine Learning Approaches Lead Toward Personalized Cognitive Training?
Article in Frontiers in behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Exploring pain sensitivity changes after acceptance and attention bias modification trainings: preliminary evidence on fear of pain and attention bias.Scientific reports · 2026Trial
- Machine Learning Approach for Predicting Older Adults' Responsiveness to Cognitive Training Interventions: Data from the ACTIVE Study.Journal of Intelligence · 2026Article
- Medial prefrontal activation as a neural predictor of cognitive training gains in older adults with amnestic mild cognitive impairment: exploratory evidence.Frontiers in aging neuroscience · 2026Article
- Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms.NPJ digital medicine · 2025Article
- Using clustering algorithms to examine the association between working memory training trajectories and therapeutic outcomes among psychiatric and healthy populations.Psychological research · 2023Article
- Spider vs. guns: expectancy and attention biases to phylogenetic threat do not extend to ontogenetic threat.Frontiers in psychology · 2023Article
- A Machine Learning Approach to Personalize Computerized Cognitive Training Interventions.Frontiers in artificial intelligence · 2022Article
- Machine Learning-Based Behavioral Diagnostic Tools for Depression: Advances, Challenges, and Future Directions.Journal of personalized medicine · 2021Review
- Cognitive Biases in Blood-Injection-Injury Phobia: A Review.Frontiers in psychiatry · 2021Review
- Identifying Variables That Predict Depression Following the General Lockdown During the COVID-19 Pandemic.Frontiers in psychology · 2021Article
- The Missing Pieces of the Puzzle: A Review on the Interactive Nature of A-Priori Expectancies and Attention Bias toward Threat.Brain sciences · 2020Review
- Using machine learning-based analysis for behavioral differentiation between anxiety and depression.Scientific reports · 2020Article
- Rethinking the effects of working memory training on executive functions in schizophrenia: A machine learning approach.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.