PNUT: Personalized Network Utility Toolkit

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Authors: Hanjoo Kim
Cited by: 0

Abstract

PNUT is an R Markdown toolkit that derives personalized (individual-level) network features from questionnaire item responses to support Network-Augmented Machine Learning Utility (NAMU). PNUT converts each participant’s item-response profile into an individualized symptom co-activation representation and extracts network-informed predictors (e.g., node strength, pairwise edge weights, and graph-level connectivity summaries such as binary/weighted density). These features can be used alongside conventional predictors in downstream machine learning pipelines.

Fields of Study & Subjects

Mental Health Research Topics Functional Brain Connectivity Studies Psychometric Methodologies and Testing

Publication details

Journal / source
Open Science Framework
Publication date
1 January 2026
Language
EN