JMIR mHealth and uHealth

View query in Help articles search

Field

e.g. mhealth

Operator

Field

Criteria

e.g. John Smith or 0000-0001-6479-5330

Exact Match for Criteria

Yes No

Search Results (1 to 10 of 466 Results)

Download search results: CSV END BibTex RIS

Sort by:

Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Brooke Allemang, Ashleigh Miatello, Mira Browne, Melanie Barwick, Pranshu Maini, Joshua Eszczuk, Chetan Pandit, Tandeep Sadhra, Laura Forhan, Natasha Bollegala, Nancy Fu, Kate Lee, Emily Dekker, Irina Nistor, Sara Ahola Kohut, Laurie Keefer, Anne Marie Griffiths, Thomas D Walters, Samantha Micsinszki, David R Mack, Sally Lawrence, Karen I Kroeker, Jacqueline de Guzman, Aalia Tausif, Claudia Tersigni, Samantha J Anthony, Eric I Benchimol

JMIR Pediatr Parent 2025;8:e64618

Download Citation: END BibTex RIS

Download PDF Download XML

Exploring the Discontinuous Usage Behavior of Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: Qualitative Study Using the Extended Model of IT Continuance

Shangyang Zhang, Min Wu, Ruini Sun, Changjie Cui, Ziqing Zhang, Jing Liao, Ni Gong

J Med Internet Res 2025;27:e66393

Download Citation: END BibTex RIS

Download PDF Download XML

Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Zhen Lu, Binhua Dong, Hongning Cai, Tian Tian, Junfeng Wang, Leiwen Fu, Bingyi Wang, Weijie Zhang, Shaomei Lin, Xunyuan Tuo, Juntao Wang, Tianjie Yang, Xinxin Huang, Zheng Zheng, Huifeng Xue, Shuxia Xu, Siyang Liu, Pengming Sun, Huachun Zou

JMIR Public Health Surveill 2025;11:e67840

Download Citation: END BibTex RIS

Download PDF Download XML

Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

To address the issue of discriminator evaluation mismatch, Fu et al [36] introduced Metric GAN. This approach tackles the problem of metrics that are not entirely aligned with the discriminator’s way of distinguishing between real and fake samples. They used perceptual evaluation of speech quality (PESQ) [37] and short-time objective intelligibility (STOI) [38] as evaluation functions, which are commonly used for assessing speech quality and intelligibility, as labels for the discriminator.

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chu-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee