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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:

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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