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

Digital Biomarkers and Digital Phenotyping (177) Big Data (215) Machine Learning (1370) Fitness Trackers and Smart Pedometers/Accelerometers (539) mHealth for Wellness, Behavior Change and Prevention (2728) Wearable Devices and Sensors (811) Loneliness and Social Isolation (80)

Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13209, first published .
Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Authors of this article:

Afsaneh Doryab1, 2 Author Orcid Image ;   Daniella K Villalba3 Author Orcid Image ;   Prerna Chikersal1 Author Orcid Image ;   Janine M Dutcher3 Author Orcid Image ;   Michael Tumminia4 Author Orcid Image ;   Xinwen Liu3 Author Orcid Image ;   Sheldon Cohen3 Author Orcid Image ;   Kasey Creswell3 Author Orcid Image ;   Jennifer Mankoff5 Author Orcid Image ;   John D Creswell3 Author Orcid Image ;   Anind K Dey6 Author Orcid Image
Article Authors Cited by (90) Tweetations (35) Metrics

Afsaneh Doryab   1, 2 , PhD ;   Daniella K Villalba   3 , PhD ;   Prerna Chikersal   1 , MSc ;   Janine M Dutcher   3 , PhD ;   Michael Tumminia   4 , BA ;   Xinwen Liu   3 , BSc ;   Sheldon Cohen   3 , PhD ;   Kasey Creswell   3 , PhD ;   Jennifer Mankoff   5 , PhD ;   John D Creswell   3 , PhD ;   Anind K Dey   6 , PhD

1 Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States

2 School of Engineering and Applied Sciences, The University of Virginia, Charlottesville, VA, United States

3 Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States

4 School of Education, University of Pittsburgh, Pittsburgh, PA, United States

5 Paul G Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States

6 Information School, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Afsaneh Doryab, PhD
  • Language Technologies Institute
  • School of Computer Science
  • Carnegie Mellon University
  • 5000 Forbes Avenue
  • Pittsburgh, PA, 15213
  • United States
  • Phone: 1 4123045320
  • Email: adoryab@gmail.com