Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia

npj Digital Medicine

Volumn 1, Issue 1, 2018, Pages

  Torous, John ^a,b   Staples, Patrick ^c   Barnett, Ian ^d   Sandoval, Luis R ^a,b   Keshavan, Matcheri ^a,b   Onnela, Jukka Pekka ^c  

^a BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DIGITAL DEVICES; DISEASES; SMARTPHONES;

ACCELEROMETER DATA; DATA COLLECTION TOOLS; DATA QUALITY; GPS SURVEY; INDIVIDUAL LEVELS; PERSONAL DIGITAL DEVICES; PHENOTYPING; PILOT STUDIES; SCIENTIFIC DATA; SMART PHONES;

SURVEYS;

ARTICLE; CLINICAL ARTICLE; CLINICAL OUTCOME; COHORT ANALYSIS; CONTROLLED STUDY; HUMAN; INFORMATION PROCESSING; METADATA; PHENOTYPE; PILOT STUDY; PRIORITY JOURNAL; RELIABILITY; SCHIZOPHRENIA; VALIDITY;

EID: 85135598390     PISSN: None     EISSN: 23986352     Source Type: Journal    
DOI: 10.1038/s41746-018-0022-8     Document Type: Article

References (14)

1. Torous, J. & Keshavan, M. The future of psychoses as seen from the history of its evolution. Curr. Behav. Neurosci. Rep. 1, 94–99 (2014).
2. Gottesman, I. & Gould, T. The endophenotype concept in psychiatry: etymology and strategic intentions. Am. J. Psychiatry 160, 636–645 (2003).
3. Kendler, K. An historical framework for psychiatric nosology. Psychol. Med. 39, 1935 (2009).
4. Haller, C., Padmanabhan, J., Lizano, P., Torous, J. & Keshavan, M. Recent advances in understanding schizophrenia. F1000Prime Reports 6, (2014).
5. Onnela, J. & Rauch, S. Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health. Neuropsychopharmacology 41, 1691–1696 (2016).
6. Torous, J., Onnela, J. & Keshavan, M. New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices. Transl. Psychiatry 7, e1053 (2017).
7. Vul, E., Harris, C., Winkielman, P. & Pashler, H. Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Perspect. Psychol. Sci. 4, 274–290 (2009).
8. Naslund, J., Aschbrenner, K., Barre, L. & Bartels, S. Feasibility of popular m-health technologies for activity tracking among individuals with serious mental illness. Telemed E Health 21, 213–216 (2015).
9. Torous, J., Staples, P. & Onnela, J. Realizing the potential of mobile mental health: new methods for new data in psychiatry. Curr. Psychiatry Rep. 17, 61 (2015).
10. Torous, J., Kiang, M., Lorme, J. & Onnela, J. New tools for new research in psychiatry: a scalable and customizable platform to empower data driven smartphone research. JMIR Ment. Health 3, e16 (2016).
11. Staples, P. et al. A comparison of passive and active estimates of sleep in a cohort with schizophrenia. npj Schizophr. 3, e16 (2017).
12. Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. 57.1, 289–300 (1995).
13. Walsh, E. & Brinkear, J. Should participants be given a mobile phone, or use their own? Effects of novelty vs utility. Telemat. Inform. 33, 25–33 (2016).
14. Benjamini, Y. & Yekutieli, D. The control of false discovery rate in multiple testing under dependency. Ann. Stat. 1, 1165–1188 (2001).