Photo by nci from unsplash
The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively. In this… Click to show full abstract
The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively. In this study, we developed a deep learning model (DLM) using electrocardiography (ECG) for detecting electrolyte imbalance and validated its performance in a multicenter study.
Keywords:
imbalance;
using electrocardiography;
detecting electrolyte;
electrolyte imbalance;
intelligence detecting;
artificial intelligence
Journal Title: Annals of Noninvasive Electrocardiology
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Annals of Noninvasive Electrocardiology
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!