Corrigenda and Addenda
doi:10.2196/68825
In “Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial” (JMIR Cardio 2024;8:e45130) the authors made one addition to their affiliations.
The following affiliation has been added to authors PCY, AJ, WX, ZS, and PJ:
AiCare Corporation, San Jose, CA United States
Therefore, the revised authors' affiliations are as follows:
Phillip C Yang1, 2, MD; Alokkumar Jha1, 2, PhD; William Xu2, 3, BSc; Zitao Song2, 4, MSc; Patrick Jamp2, 5, BSc; Jeffrey J Teuteberg1, MD
1. Stanford University School of Medicine, Palo Alto, CA, United States
2. AiCare Corporation, San Jose, CA United States
3. Emory University, Atlanta, GA, United States
4. North Carolina State University, Raleigh, NC, United States
5. Electrical Engineering, University of California, Los Angeles, Mountain View, CA, United States
The correction will appear in the online version of the paper on the JMIR Publications website on December 10, 2024, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.
This is a non–peer-reviewed article. submitted 14.11.24; accepted 19.11.24; published 10.12.24.
Copyright©Phillip C Yang, Alokkumar Jha, William Xu, Zitao Song, Patrick Jamp, Jeffrey J Teuteberg. Originally published in JMIR Cardio (https://cardio.jmir.org), 10.12.2024.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cardio, is properly cited. The complete bibliographic information, a link to the original publication on https://cardio.jmir.org, as well as this copyright and license information must be included.