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

ABSTRACT: Digital phenotyping, or the moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices and smartphones, in particular, holds great potential for behavioral monitoring of patients. However, realizing the potential of digital phenotyping requires understanding of the smartphone as a scientific data collection tool. In this pilot study, we detail a procedure for estimating data quality for phone sensor samples and model the relationship between data quality and future symptom-related survey responses in a cohort with schizophrenia. We find that measures of empirical coverage of collected accelerometer and GPS data, as well as survey timing and survey completion metrics, are significantly associated with future survey scores for a v

SUBMITTER: Torous J 

PROVIDER: S-EPMC6550248 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature