Join the club for FREE to access the whole archive and other member benefits.

Detecting depression with smartphones

Connecting the app data with physicians can help to prevent the risks associated with depression

01-Feb-2020

Key points from article :

Researchers predicted if somebody was depressed, by collected mobile phone data, with 87% accuracy.

28 adult participants carried a mobile phone with the sensor data acquisition app for 2 weeks.

App detects depression by tracking the duration of daily use of phone and daily geolocation of the owner.

The more time a person spends using a mobile phone, the more likely they’re depressed.

Average daily mobile phone use for depressed people was 68 minutes, for non-depressed people - 17 minutes.

Spending most of their time at home, or in fewer locations were linked to depression.

Smart-phone data was better at detecting depression than daily questionnaires.

Mentioned in this article:

Click on resource name for more details.

David Mohr

Professor of Preventive Medicine, Medical Social Sciences and Psychiatry and Behavioral Sciences

Northwestern University

Private multidisciplinary research university.

Topics mentioned on this page:
Depression, Medical Technology