AIMC Topic: Psychology

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Mapping the terrain of Journal of Counseling Psychology: A citation network analysis.

Journal of counseling psychology Mar 29, 2021
In this study, we conducted a citation network analysis of the to elucidate the scope, evolution, and interconnections of publications as reflected in how authors use (i.e., cite) these publications. We used CitNetExplorer to analyze a network of 4...
Social Justice Psychology Counseling Gender Identity Humans Artificial Intelligence
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Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience.

Scientific reports Nov 20, 2020
Machine learning methods provide powerful tools to map physical measurements to scientific categories. But are such methods suitable for discovering the ground truth about psychological categories? We use the science of emotion as a test case to expl...
Unsupervised Machine Learning Supervised Machine Learning Psychophysiology Self Report Grounded Theory Psychology Magnetic Resonance Imaging Datasets as Topic Cluster Analysis Models, Psychological Emotions Humans Brain
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How Can Big Data Science Transform the Psychological Sciences?

The Spanish journal of psychology Nov 5, 2020
Big data and related technologies are radically altering our society. In a similar way, these approaches can transform the psychological sciences. The goal of this commentary is to motivate psychologists to embrace big data science for the betterment...
Machine Learning Big Data Data Science Humans Psychology
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Psychosocial profiles and their predictors in epilepsy using patient-reported outcomes and machine learning.

Epilepsia May 20, 2020
OBJECTIVE: To apply unsupervised machine learning to patient-reported outcomes to identify clusters of epilepsy patients exhibiting unique psychosocial characteristics.
Quality of Life Socioeconomic Factors Age Factors Cross-Sectional Studies Cluster Analysis Psychology Male Unsupervised Machine Learning Middle Aged Sex Factors Epilepsy Humans Age of Onset Female Patient Reported Outcome Measures Adult
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Estimating the deep replicability of scientific findings using human and artificial intelligence.

Proceedings of the National Academy of Sciences of the United States of America May 4, 2020
Replicability tests of scientific papers show that the majority of papers fail replication. Moreover, failed papers circulate through the literature as quickly as replicating papers. This dynamic weakens the literature, raises research costs, and dem...
Machine Learning Peer Review Reproducibility of Results Periodicals as Topic Humans Psychology
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Machine Learning and Psychological Research: The Unexplored Effect of Measurement.

Perspectives on psychological science : a journal of the Association for Psychological Science Apr 29, 2020
Machine learning (i.e., data mining, artificial intelligence, big data) has been increasingly applied in psychological science. Although some areas of research have benefited tremendously from a new set of statistical tools, most often in the use of ...
Data Mining Psychology Algorithms Research Big Data Humans Artificial Intelligence Machine Learning
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Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus 'trained' machine learning models.

Addiction (Abingdon, England) Mar 26, 2020
BACKGROUND AND AIMS: Clinical staff are typically poor at predicting alcohol dependence treatment outcomes. Machine learning (ML) offers the potential to model complex clinical data more effectively. This study tested the predictive accuracy of ML al...
Treatment Outcome Australia Psychology Middle Aged Adolescent Logistic Models Alcoholism Cognitive Behavioral Therapy Prognosis Female Aged Young Adult Adult Male Machine Learning Algorithms Prospective Studies Humans
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One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.

Psychological methods Mar 5, 2020
Determining the number of factors is one of the most crucial decisions a researcher has to face when conducting an exploratory factor analysis. As no common factor retention criterion can be seen as generally superior, a new approach is proposed-comb...
Humans Machine Learning Models, Statistical Factor Analysis, Statistical Data Interpretation, Statistical Psychology
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Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.

Psychological methods Feb 10, 2020
Prediction rule ensembles (PREs) are a relatively new statistical learning method, which aim to strike a balance between predictive performance and interpretability. Starting from a decision tree ensemble, like a boosted tree ensemble or a random for...
Humans Machine Learning Psychology Disease Progression Adult Prognosis Statistics as Topic Anxiety Disorders Male Biomedical Research Female Middle Aged Depressive Disorder Adolescent Young Adult
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Searching for the Big Pictures.

Perspectives on psychological science : a journal of the Association for Psychological Science Feb 3, 2020
My goal in searching for the big pictures is to discover novel ways of organizing information in psychology that will have both theoretical and practical significance. The first section lists my reasons for writing each of five articles. The second s...
Classification Knowledge Humans Psychology Biological Ontologies Artificial Intelligence Writing
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