PNUT: Personalized Network Utility Toolkit
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