Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification
2018
Background and Objectives
Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF).
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
29
References
27
Citations
NaN
KQI