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Cecily Morrison

Showing results (11-20 of 23) with videos related to

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BMC Medicine|April 11, 2015
The evolution of mobile apps for asthma: an updated systematic assessment of content and toolsKit Huckvale, Cecily Morrison, Jing Ouyang, et al.
Clinical Medicine (London, England)|August 3, 2016
Designing services for frequent attenders to the emergency department: a characterisation of this population to inform service designRebecca Jacob, Mai Luen Wong, Catherine Hayhurst, et al.
International Journal of Human-Computer Studies|March 5, 2020
Personal information and public health: Design tensions in sharing and monitoring wellbeing in pregnancyKevin Doherty, Marguerite Barry, José Marcano Belisario, et al.
BMJ Open|January 24, 2016
Tablet computers for implementing NICE antenatal mental health guidelines: protocol of a feasibility studyJosé S Marcano-Belisario, Ajay K Gupta, John O'Donoghue, et al.
JMIR Mental Health|November 29, 2018
A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design StudyKevin Doherty, Marguerite Barry, José Marcano-Belisario, et al.
BMC Medical Informatics and Decision Making|May 12, 2017
Implementation of depression screening in antenatal clinics through tablet computers: results of a feasibility studyJosé S Marcano-Belisario, Ajay K Gupta, John O'Donoghue, et al.
BMJ Open|May 31, 2017
A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility studyJose Salvador Marcano Belisario, Kevin Doherty, John O'Donoghue, et al.
Archives of Physical Medicine and Rehabilitation|September 2, 2019
Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple SclerosisJessica Burggraaff, Jonas Dorn, Marcus D'Souza, et al.
JMIR Human Factors|March 31, 2016
Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer VisionCecily Morrison, Marcus D'Souza, Kit Huckvale, et al.
Disability and Rehabilitation|February 21, 2019
Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support - a proof of concept studySaskia Steinheimer, Jonas F Dorn, Cecily Morrison, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
BMC Medicine|April 11, 2015
The evolution of mobile apps for asthma: an updated systematic assessment of content and toolsKit Huckvale, Cecily Morrison, Jing Ouyang, et al.
Clinical Medicine (London, England)|August 3, 2016
Designing services for frequent attenders to the emergency department: a characterisation of this population to inform service designRebecca Jacob, Mai Luen Wong, Catherine Hayhurst, et al.
International Journal of Human-Computer Studies|March 5, 2020
Personal information and public health: Design tensions in sharing and monitoring wellbeing in pregnancyKevin Doherty, Marguerite Barry, José Marcano Belisario, et al.
BMJ Open|January 24, 2016
Tablet computers for implementing NICE antenatal mental health guidelines: protocol of a feasibility studyJosé S Marcano-Belisario, Ajay K Gupta, John O'Donoghue, et al.
JMIR Mental Health|November 29, 2018
A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design StudyKevin Doherty, Marguerite Barry, José Marcano-Belisario, et al.
BMC Medical Informatics and Decision Making|May 12, 2017
Implementation of depression screening in antenatal clinics through tablet computers: results of a feasibility studyJosé S Marcano-Belisario, Ajay K Gupta, John O'Donoghue, et al.
BMJ Open|May 31, 2017
A bespoke mobile application for the longitudinal assessment of depression and mood during pregnancy: protocol of a feasibility studyJose Salvador Marcano Belisario, Kevin Doherty, John O'Donoghue, et al.
Archives of Physical Medicine and Rehabilitation|September 2, 2019
Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple SclerosisJessica Burggraaff, Jonas Dorn, Marcus D'Souza, et al.
JMIR Human Factors|March 31, 2016
Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer VisionCecily Morrison, Marcus D'Souza, Kit Huckvale, et al.
Disability and Rehabilitation|February 21, 2019
Setwise comparison: efficient fine-grained rating of movement videos using algorithmic support - a proof of concept studySaskia Steinheimer, Jonas F Dorn, Cecily Morrison, et al.
Pageof 3