Digital phenotyping correlations in larger mental health samples: analysis and replication.

ABSTRACT:

Background

Smartphones can facilitate patients completing surveys and collecting sensor data to gain insight into their mental health conditions. However, the utility of sensor data is still being explored. Prior studies have reported a wide range of correlations between passive data and survey scores.

Aims

To explore correlations in a large data-set collected with the mindLAMP app. Additionally, we explored whether passive data features could be used in models to predict survey results.

Method

Participants were asked to complete daily and weekly mental health surveys. After screening for data quality, our sample included 147 college student participants and 270 weeks of data. We examined correlations between six weekly surveys and 13 metrics derived from passive data

SUBMITTER: Currey D 

PROVIDER: S-EPMC9230632 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature