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Facilitating User Participation in Digital Health Research: The mHealth Impact Registry

Facilitating User Participation in Digital Health Research: The mHealth Impact Registry

0479BullSheanaMPH, PhD12MooreSusan LMSPH, PhD1Barrientos OrtizCharlene121Community and Behavioral HealthColorado School of Public HealthUniversity of ColoradoAurora, COUnited States2University of Colorado DenverDenver, COUnited StatesCorresponding Author: Kelsey

Kelsey Lynett Ford, Sheana Bull, Susan L. Moore, Charlene Barrientos Ortiz

iproc 2019;5(1):e15157


Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

The authors would also like to thank Dr Saninder Kaur, Kelsey Greenoe, Ashley Adamczyk, and Ryan Griesenauer for their assistance during participant recruitment and data collection.

Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Kording, Arun Jayaraman

JMIR Mhealth Uhealth 2017;5(12):e167


Building Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate Cancer

Building Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate Cancer

registry.Table 1Data sources used for the development of the pathways.Data source (abbreviation)Description of selected dataAdministration (ADM)Patient episodic information, comorbidities, and clinical coding.Histopathology (HIST)Histopathology reports and extracted Gleason

Joao H Bettencourt-Silva, Jeremy Clark, Colin S Cooper, Robert Mills, Victor J Rayward-Smith, Beatriz de la Iglesia

JMIR Med Inform 2015;3(3):e26


Advancing Interprofessional Primary Health Care Services in Rural Settings for People with Chronic Low Back Disorders: Protocol of a Community-Based Randomized Controlled Trial

Advancing Interprofessional Primary Health Care Services in Rural Settings for People with Chronic Low Back Disorders: Protocol of a Community-Based Randomized Controlled Trial

The rural pilot trial (Objectives 2 and 3) took place in the Kelsey Trail Health Region in the communities of Arborfield and Carrot River (264 to 288 kilometers from Saskatoon, SK, respectively).

Brenna Bath, Stacey Lovo Grona, Stephan Milosavljevic, Nazmi Sari, Biaka Imeah, Megan E O’Connell

JMIR Res Protoc 2016;5(4):e212


Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator

Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator

In addition, SEER should be explained on the output pages for those that skip the home page and move right to the calculators.Prostate disease characteristicsConcerns were raised about the appropriateness of selected categories for Gleason score.

Michelle Henton, Bridget Gaglio, Laurie Cynkin, Eric J Feuer, Borsika A Rabin

JMIR Cancer 2017;3(2):e9


Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

The input to the convolution layer is an m × m × r image, where m is the height and width of the image and r is the number of channels. k is the filters (or kernels) in each convolution layer of size n × n × q, where n is smaller than the dimension of the

Igbe Tobore, Jingzhen Li, Liu Yuhang, Yousef Al-Handarish, Abhishek Kandwal, Zedong Nie, Lei Wang

JMIR Mhealth Uhealth 2019;7(8):e11966