Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data
Author:
Affiliation:
1. Toronto Metropolitan Univerity,Department of Electrical, Computer, and Biomedical Engineering,Toronto,ON,M5B 2K3
2. St. Michael’s Hospital,Interventional Psychiatry Program,Toronto,M5B 1W8
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095849.pdf?arnumber=10095849
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1. Clustering and Feature Analysis of Smartphone Data for Depression Monitoring
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4. Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol
5. Opportunities and challenges in the collection and analysis of DP data;onnela;Neuropsychopharmacology 2020 46 1,2020
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