Accessibility settings

This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3719) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2326)

Published on in Vol 15, No 7 (2013): July

Maximizing the Value of Mobile Health Monitoring by Avoiding Redundant Patient Reports: Prediction of Depression-Related Symptoms and Adherence Problems in Automated Health Assessment Services

Maximizing the Value of Mobile Health Monitoring by Avoiding Redundant Patient Reports: Prediction of Depression-Related Symptoms and Adherence Problems in Automated Health Assessment Services

Maximizing the Value of Mobile Health Monitoring by Avoiding Redundant Patient Reports: Prediction of Depression-Related Symptoms and Adherence Problems in Automated Health Assessment Services

Authors of this article:

John D Piette1 ;   Jeremy B Sussman1 ;   Paul N Pfeiffer2 ;   Maria J Silveira1 ;   Satinder Singh3 ;   Mariel S Lavieri4
Article Authors Cited by (11) Tweetations (5) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually