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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (523) Usability of Apps and User Perceptions of mHealth (902) Decision Support for Health Professionals (1145) Mobile Health and Apps for Maternal and Child Health (128)

Published on in Vol 6, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11468, first published .
Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation

Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation

Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation

Authors of this article:

Ibukun-Oluwa Omolade Abejirinde1, 2, 3 Author Orcid Image ;   Marjolein Zweekhorst1 Author Orcid Image ;   Azucena Bardají3 Author Orcid Image ;   Rudolf Abugnaba-Abanga4 Author Orcid Image ;   Norbert Apentibadek5 Author Orcid Image ;   Vincent De Brouwere2 Author Orcid Image ;   Jos van Roosmalen1, 6 Author Orcid Image ;   Bruno Marchal2 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) 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