JMIR Serious Games

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 39 Results)

Download search results: CSV END BibTex RIS

Sort by:

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

JMIR Aging 2025;8:e67715

Download Citation: END BibTex RIS

Download PDF Download XML

Evaluating the Quality, Content Accuracy, and User Suitability of mHealth Prenatal Care Apps for Expectant Mothers: Critical Assessment Study

Fateme Asadollahi, Samira Ebrahimzadeh Zagami, Saeid Eslami, Robab Latifnejad Roudsari

Asian Pac Isl Nurs J 2025;9:e66852

Download Citation: END BibTex RIS

Download PDF Download XML

Global and Regional Prevalence of Domestic Violence During the COVID-19 Pandemic and Its Determinants: Protocol for a Systematic Review and Meta-Analysis

Razieh Bidhendi-Yarandi, Akbar Biglarian, Farhad Nosrati Nejad, Payam Roshanfekr, Samira Behboudi-Gandevani

JMIR Res Protoc 2024;13:e60963

Download Citation: END BibTex RIS

Download PDF Download XML

EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study

Samira Abbasgholizadeh Rahimi, Richa Shrivastava, Anita Brown-Johnson, Pascale Caidor, Claire Davies, Amal Idrissi Janati, Pascaline Kengne Talla, Sreenath Madathil, Bettina M Willie, Elham Emami

J Med Internet Res 2024;26:e63356

Download Citation: END BibTex RIS

Download PDF Download XML

Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review

Moein Razavi, Samira Ziyadidegan, Ahmadreza Mahmoudzadeh, Saber Kazeminasab, Elaheh Baharlouei, Vahid Janfaza, Reza Jahromi, Farzan Sasangohar

JMIR Ment Health 2024;11:e53714

Download Citation: END BibTex RIS

Download PDF Download XML

Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review

Raymond Tolentino, Ashkan Baradaran, Genevieve Gore, Pierre Pluye, Samira Abbasgholizadeh-Rahimi

JMIR Med Educ 2024;10:e54793

Download Citation: END BibTex RIS

Download PDF Download XML

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review

Our previous work used the framework developed by Mehrabi et al [5], which classified numerous types of bias according to the characteristics of each bias as well as where it would be introduced into an ML system in the cycle of providing training data (data to algorithm), the ML model interacting with the public (algorithm to user), and the public’s data being used for future testing (user to data).

Charlene Chu, Simon Donato-Woodger, Shehroz S Khan, Tianyu Shi, Kathleen Leslie, Samira Abbasgholizadeh-Rahimi, Rune Nyrup, Amanda Grenier