Published on in Vol 6, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25444, first published .
An Open-Source Privacy-Preserving Large-Scale Mobile Framework for Cardiovascular Health Monitoring and Intervention Planning With an Urban African American Population of Young Adults: User-Centered Design Approach

An Open-Source Privacy-Preserving Large-Scale Mobile Framework for Cardiovascular Health Monitoring and Intervention Planning With an Urban African American Population of Young Adults: User-Centered Design Approach

An Open-Source Privacy-Preserving Large-Scale Mobile Framework for Cardiovascular Health Monitoring and Intervention Planning With an Urban African American Population of Young Adults: User-Centered Design Approach

Journals

  1. Cuevas-Chávez A, Hernández Y, Ortiz-Hernandez J, Sánchez-Jiménez E, Ochoa-Ruiz G, Pérez J, González-Serna G. A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases. Healthcare 2023;11(16):2240 View
  2. Schikowski E, Bosah A, Reddy A, Younes S, Magnani J. Integrating Digital Coaching into Cardiac Practice: Strategies to Advance Health Equity. Current Cardiovascular Risk Reports 2024;18(11):145 View

Conference Proceedings

  1. Gomes Raulino N, de Castro Andrade R, de Sousa Santos I. Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems. Integration of User-Centered Design in the Development of Big Data and Machine Learning-Based Applications View