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

Artificial Intelligence (1371) Machine Learning (1465) Novel Sensors and Data Acquisition Methods in Cardiology (196) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41163, first published .
Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach

Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach

Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach

Authors of this article:

I-Min Chiu1, 2 Author Orcid Image ;   Jhu-Yin Cheng2 Author Orcid Image ;   Tien-Yu Chen3 Author Orcid Image ;   Yi-Min Wang2 Author Orcid Image ;   Chi-Yung Cheng1, 2 Author Orcid Image ;   Chia-Te Kung2 Author Orcid Image ;   Fu-Jen Cheng2 Author Orcid Image ;   Fei-Fei Flora Yau2 Author Orcid Image ;   Chun-Hung Richard Lin1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Kim D, Jeong J, Kim J, Cho Y, Park I, Lee S, Oh Y, Baek S, Kang D, Lee E, Jeong B. Hyperkalemia Detection in Emergency Departments Using Initial ECGs: A Smartphone AI ECG Analyzer vs. Board-Certified Physicians. Journal of Korean Medical Science 2023;38(45) View
  2. Chiu I, Wu P, Zhang H, Hughes J, Rogers A, Jalilian L, Perez M, Lin C, Lee C, Zou J, Ouyang D. Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms. JACC: Clinical Electrophysiology 2024 View