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Showing 1–6 of 6 results

Advanced filters: Author: Lisa A. Marsch Clear advanced filters

Uncovering the structure of self-regulation through data-driven ontology discovery

Scientific progress relies on integrating and building on existing knowledge. Here, the authors propose improving cumulative science by developing data-driven ontologies, and they apply this approach to understanding the construct of self-regulation.

Ian W. Eisenberg
Patrick G. Bissett
Russell A. Poldrack
ResearchOpen Access24 May 2019
Nature Communications

Volume: 10, P: 1-13
Identifying substance use risk based on deep neural networks and Instagram social media data

Saeed Hassanpour
Naofumi Tomita
Lisa A. Marsch
ResearchOpen Access24 Oct 2018
Neuropsychopharmacology

Volume: 44, P: 487-494
Opportunities and needs in digital phenotyping

Lisa A. Marsch
Research Highlights03 Apr 2018
Neuropsychopharmacology

Volume: 43, P: 1637-1638
Evaluating a mobile app’s effects on depression and anxiety in medication-treated opioid use disorder

Michael V. Heinz
Damien Lekkas
Nicholas C. Jacobson
ResearchOpen Access30 Sept 2024
npj Mental Health Research

Volume: 3, P: 1-14
Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation

Patrick G. Bissett
Ian W. Eisenberg
Russell A. Poldrack
ResearchOpen Access20 Jul 2024
Scientific Data

Volume: 11, P: 1-15
Digital health data-driven approaches to understand human behavior

Lisa A. Marsch
ReviewsOpen Access12 Jul 2020
Neuropsychopharmacology

Volume: 46, P: 191-196