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

Artificial Intelligence (912) Machine Learning (1188) Novel Sensors and Data Acquisition Methods in Cardiology (172) Clinical Information and Decision Making (1111) Decision Support for Health Professionals (922)

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 Chiu 1, 2 Author Orcid Image ;   Jhu-Yin Cheng 1 Author Orcid Image ;   Tien-Yu Chen 3 Author Orcid Image ;   Yi-Min Wang 1 Author Orcid Image ;   Chi-Yung Cheng 1, 2 Author Orcid Image ;   Chia-Te Kung 1 Author Orcid Image ;   Fu-Jen Cheng 1 Author Orcid Image ;   Fei-Fei Flora Yau 1 Author Orcid Image ;   Chun-Hung Richard Lin 2 Author Orcid Image
Article Authors Cited by (1) 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