Literature DB >> 26818126

Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health.

Jukka-Pekka Onnela1, Scott L Rauch2,3,4.   

Abstract

Mesh:

Year:  2016        PMID: 26818126      PMCID: PMC4869063          DOI: 10.1038/npp.2016.7

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


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  6 in total

1.  Deep phenotyping: The details of disease.

Authors:  Cathryn M Delude
Journal:  Nature       Date:  2015-11-05       Impact factor: 49.962

Review 2.  Ecological momentary assessment.

Authors:  Saul Shiffman; Arthur A Stone; Michael R Hufford
Journal:  Annu Rev Clin Psychol       Date:  2008       Impact factor: 18.561

3.  The digital phenotype.

Authors:  Sachin H Jain; Brian W Powers; Jared B Hawkins; John S Brownstein
Journal:  Nat Biotechnol       Date:  2015-05       Impact factor: 54.908

4.  Validity and reliability of the Experience-Sampling Method.

Authors:  M Csikszentmihalyi; R Larson
Journal:  J Nerv Ment Dis       Date:  1987-09       Impact factor: 2.254

5.  Strategies for mHealth research: lessons from 3 mobile intervention studies.

Authors:  Dror Ben-Zeev; Stephen M Schueller; Mark Begale; Jennifer Duffecy; John M Kane; David C Mohr
Journal:  Adm Policy Ment Health       Date:  2015-03

6.  New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research.

Authors:  John Torous; Mathew V Kiang; Jeanette Lorme; Jukka-Pekka Onnela
Journal:  JMIR Ment Health       Date:  2016-05-05
  6 in total
  132 in total

Review 1.  Using ambulatory assessment to measure dynamic risk processes in affective disorders.

Authors:  Jonathan P Stange; Evan M Kleiman; Robin J Mermelstein; Timothy J Trull
Journal:  J Affect Disord       Date:  2019-08-19       Impact factor: 4.839

2.  The Differential Impact of Social Media Use on Middle and High School Students: A Retrospective Study.

Authors:  Reem M A Shafi; Paul A Nakonezny; Magdalena Romanowicz; Aiswarya L Nandakumar; Laura Suarez; Paul E Croarkin
Journal:  J Child Adolesc Psychopharmacol       Date:  2019-06-24       Impact factor: 2.576

3.  Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking.

Authors:  W Scott Comulada; Cameron Goldbeck; Ellen Almirol; Heather J Gunn; Manuel A Ocasio; M Isabel Fernández; Elizabeth Mayfield Arnold; Adriana Romero-Espinoza; Stacey Urauchi; Wilson Ramos; Mary Jane Rotheram-Borus; Jeffrey D Klausner; Dallas Swendeman
Journal:  Prev Sci       Date:  2021-05-11

Review 4.  Dispositional negativity: An integrative psychological and neurobiological perspective.

Authors:  Alexander J Shackman; Do P M Tromp; Melissa D Stockbridge; Claire M Kaplan; Rachael M Tillman; Andrew S Fox
Journal:  Psychol Bull       Date:  2016-10-10       Impact factor: 17.737

Review 5.  Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data.

Authors:  Ian Barnett; John Torous; Patrick Staples; Matcheri Keshavan; Jukka-Pekka Onnela
Journal:  J Am Med Inform Assoc       Date:  2018-12-01       Impact factor: 4.497

Review 6.  Digital phenotyping approaches and mobile devices enhance CNS biopharmaceutical research and development.

Authors:  Daniel G Smith
Journal:  Neuropsychopharmacology       Date:  2018-09-18       Impact factor: 7.853

Review 7.  Mapping Movement: Applying Motion Measurement Technologies to the Psychiatric Care of Older Adults.

Authors:  Stephanie Collier; Patrick Monette; Katherine Hobbs; Edward Tabasky; Brent P Forester; Ipsit V Vahia
Journal:  Curr Psychiatry Rep       Date:  2018-07-24       Impact factor: 5.285

Review 8.  Digital devices and continuous telemetry: opportunities for aligning psychiatry and neuroscience.

Authors:  Justin T Baker; Laura T Germine; Kerry J Ressler; Scott L Rauch; William A Carlezon
Journal:  Neuropsychopharmacology       Date:  2018-08-02       Impact factor: 7.853

9.  Brief Report: Sex/Gender Differences in Symptomology and Camouflaging in Adults with Autism Spectrum Disorder.

Authors:  Rachel K Schuck; Ryan E Flores; Lawrence K Fung
Journal:  J Autism Dev Disord       Date:  2019-06

10.  Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer.

Authors:  Ruby Fore; Jaime E Hart; Christine Choirat; Jennifer W Thompson; Kathleen Lynch; Francine Laden; Jorge E Chavarro; Peter James
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-25       Impact factor: 4.254

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