This paper is in the following e-collection/theme issue:

Theme issue 2019: 20th Anniversary Issue (30)

Published on in Vol 21 , No 11 (2019) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16399, first published .
Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Authors of this article:

Scott Barnett 1 Author Orcid Image ;   Kit Huckvale 2 Author Orcid Image ;   Helen Christensen 2, 3 Author Orcid Image ;   Svetha Venkatesh 1 Author Orcid Image ;   Kon Mouzakis 2 Author Orcid Image ;   Rajesh Vasa 1 Author Orcid Image
Article Authors Cited by (10) Tweetations (16) Metrics
Scott Barnett 1 * , BEng, BSc, PhD ;   Kit Huckvale 2 * , BSc, MBChB, MSc, PhD ;   Helen Christensen 2, 3 , BA, MPsychol, PhD ;   Svetha Venkatesh 1 , BTech, MTech, PhD ;   Kon Mouzakis 2 , BSc, MSc ;   Rajesh Vasa 1 , PhD

1 Applied Artificial Intelligence Institute (A2I2) , Deakin University , Geelong , AU

2 Black Dog Institute , UNSW Sydney , Randwick , AU

3 Mindgardens Neuroscience Network , Sydney , AU

*these authors contributed equally

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