Search Articles

View query in Help articles search

Search Results (1 to 10 of 3536 Results)

Download search results: CSV END BibTex RIS


A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

Moreover, we relied on baseline information collected at the start of the study for model development and did not fully account for how things can change over time in the real world. Looking ahead, we would like to make sure our models stay accurate and up to date as treatment strategies and clinical guidelines evolve. One way to do this is by applying our framework on more recent datasets or on data that captures changes over time.

Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

JMIR Med Inform 2025;13:e66200

Influence of Virtual Reality Illusions on Balance Performance and Immersive User Experience in Young Adults: A Within-Subject Experimental Study

Influence of Virtual Reality Illusions on Balance Performance and Immersive User Experience in Young Adults: A Within-Subject Experimental Study

The choice of this game was influenced by several factors, including its real-life relatability [38,39], the ability to be played in a standing posture [32], simple game-mechanics, and easily adjustable parameters. In addition, the game’s haptic and auditory feedback had the potential to enhance immersive user experience, further supporting our decision to use it [24,33].

R Achintha M Abayasiri, Antonio Padilha Lanari Bo, Taylor J M Dick, Nilufar Baghaei

JMIR Serious Games 2025;13:e70376

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study

X (formerly known as Twitter) provides real-time insights into the thoughts, feelings, and conversations of millions of users. Natural language processing (NLP) tools are instrumental in analyzing social media content, offering deeper insights into public perception. NLP methods enable the analysis of public sentiment toward specific topics, the detection of emerging trends, and the identification of demographic groups participating in these discussions.

Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

JMIR Form Res 2025;9:e60859

Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring

Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring

Proof-of-concept studies are necessary to determine how the implementation of RPM can reduce pediatric readmissions in the real clinical setting. Initial studies should focus on the assessment of technical feasibility within existing health care systems along with thoughtful mapping of how RPM would integrate into the clinical workflow of the care of the chronic pediatric patient.

Isha Thapa, Brian Han, David N Rosenthal, Stephen J Roth, Andrew Y Shin, Nicholas Bambos, David Scheinker

JMIR Pediatr Parent 2025;8:e60802

Changes in Mental State for Help-Seekers of Lifeline Australia’s Online Chat Service: Lexical Analysis Approach

Changes in Mental State for Help-Seekers of Lifeline Australia’s Online Chat Service: Lexical Analysis Approach

Cognitive overload among digital crisis supporters has also been shown to reduce with support from NLP-based tools, including helping to resolve writer’s block and providing real-time information based on conversation content [23,24]. Furthermore, NLP can support the efficiency of crisis support, with Althoff et al [25] determining via NLP techniques that more successful online crisis support involved greater time devoted to exploring solutions, as opposed to defining problems.

Kelly Mazzer, Sonia Curll, Hakar Barzinjy, Roland Goecke, Mark Larsen, Philip J Batterham, Nickolai Titov, Debra Rickwood

JMIR Form Res 2025;9:e63257

Responsible Governance of Tribal Public Health Data: Data Sharing Ethics and Common Challenges in the US Public Health System

Responsible Governance of Tribal Public Health Data: Data Sharing Ethics and Common Challenges in the US Public Health System

The fragmented nature of the public health system, comprised of the IHS, CDC, Tribal Epidemiology Centers, tribal health entities, and local and state public health departments, ultimately works against improving American Indian and Alaska Native public health outcomes because they do not share real-time, HIPAA-compliant data for the purposes of contact tracing, disease surveillance, occupational hazards, and environmental exposures [6].

Alec J Calac, Luis R Gasca, William H Swain

J Med Internet Res 2025;27:e77249