This paper is in the following e-collection/theme issue:

Novel Sensors and Data Acquisition Methods in Cardiology (196) Machine Learning (1465) Clinical Information and Decision Making (1407) Wearable Devices and Sensors (888) Portable and Mobile Technologies for Rehabilitation (151) Assistive Technologies (115) Clinical Informatics (1022) Machine Learning (49)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45130, first published .
Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial

Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial

Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial

Authors of this article:

Phillip C Yang1 Author Orcid Image ;   Alokkumar Jha1 Author Orcid Image ;   William Xu2 Author Orcid Image ;   Zitao Song3 Author Orcid Image ;   Patrick Jamp4 Author Orcid Image ;   Jeffrey J Teuteberg1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Phillip C Yang   1 , MD ;   Alokkumar Jha   1 , PhD ;   William Xu   2 , BSc ;   Zitao Song   3 , MSc ;   Patrick Jamp   4 , BSc ;   Jeffrey J Teuteberg   1 , MD

1 Stanford University School of Medicine, Palo Alto, CA, United States

2 Emory University, Atlanta, GA, United States

3 North Carolina State University, Raleigh, NC, United States

4 Electrical Engineering, University of California, Los Angeles, Mountain View, CA, United States

Corresponding Author:

  • Phillip C Yang, MD
  • Stanford University School of Medicine
  • 300 Pasteur Dr # H2157 Stanford
  • Palo Alto, CA, 94305-2200
  • United States
  • Phone: 1 6508048828
  • Email: phillip@stanford.edu