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Adam Atherly, Eline Van Den Broek-Altenburg, Victoria Hart, Kelsey Gleason, Jan Carney
JMIR Public Health Surveill 2020;6(3):e21607Download Citation: END BibTex RIS
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: KelseyKelsey Lynett Ford, Sheana Bull, Susan L. Moore, Charlene Barrientos Ortiz
iproc 2019;5(1):e15157Download Citation: END BibTex RIS
Prostate Cancer Risk Calculator Apps in a Taiwanese Population Cohort: Validation Study
Prostate cancer (PCa) risk calculator mobile apps have been introduced to assess risks of PCa and high-grade PCa (Gleason score ≥7).I-Hsuan Alan Chen, Chi-Hsiang Chu, Jen-Tai Lin, Jeng-Yu Tsai, Chia-Cheng Yu, Ashwin Narasimha Sridhar, Prasanna Sooriakumaran, Rui C V Loureiro, Manish Chand
J Med Internet Res 2020;22(12):e16322Download Citation: END BibTex RIS
Leonie A Krops, Adrie J Bouma, Femke Van Nassau, Joske Nauta, Inge van den Akker-Scheek, Willem JR Bossers, Johan Brügemann, Laurien M Buffart, Ronald L Diercks, Vincent De Groot, Johan De Jong, Caroline S Kampshoff, Marike Van der Leeden, Hans Leutscher, Gerjan J Navis, Salome Scholtens, Martin Stevens, Morris A Swertz, Sacha Van Twillert, Joeri Van der Velde, Johannes Zwerver, Lucas HV Van der Woude, Willem Van Mechelen, Evert ALM Verhagen, Helco G Van Keeken, Hidde P Van der Ploeg, Rienk Dekker
JMIR Res Protoc 2020;9(11):e19397Download Citation: END BibTex RIS

Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Kording, Arun Jayaraman
JMIR Mhealth Uhealth 2017;5(12):e167Download Citation: END BibTex RIS

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):e26Download Citation: END BibTex RIS

Brenna Bath, Stacey Lovo Grona, Stephan Milosavljevic, Nazmi Sari, Biaka Imeah, Megan E O’Connell
JMIR Res Protoc 2016;5(4):e212Download Citation: END BibTex RIS

Abel Swaan, Christophe K Mannaerts, Matthijs J V Scheltema, Jakko A Nieuwenhuijzen, C Dilara Savci-Heijink, Jean J M C H de la Rosette, R Jeroen A van Moorselaar, Ton G van Leeuwen, Theo M de Reijke, Daniel Martijn de Bruin
JMIR Res Protoc 2018;7(5):e132Download Citation: END BibTex RIS

Michelle Henton, Bridget Gaglio, Laurie Cynkin, Eric J Feuer, Borsika A Rabin
JMIR Cancer 2017;3(2):e9Download Citation: END BibTex RIS
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 theIgbe Tobore, Jingzhen Li, Liu Yuhang, Yousef Al-Handarish, Abhishek Kandwal, Zedong Nie, Lei Wang
JMIR Mhealth Uhealth 2019;7(8):e11966Download Citation: END BibTex RIS