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January 1, 2019Korean Circulation Journal134 citationsOpen Access

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

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JKJoon‐myoung KwonHeart Failure & TransplantKKKyung‐Hee KimKookmin University
Ki‐Hyun Jeon
Ki‐Hyun JeonInterventional / Structural Cardiology

Structured PICO

Does a deep-learning algorithm using ECG features improve heart failure identification compared to other machine-learning methods?

I
Intervention
Deep-learning algorithm using ECG features
C
Comparator
Other machine-learning methods
O
Outcome
Heart failure identification

A deep-learning algorithm using ECG features accurately identifies heart failure and outperforms other machine-learning methods.

Abstract

The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.

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Cite This Study

Kwon et al. (2019) studied this question.

synapsesocial.com/papers/69d56c1e75589c71d767cbd7https://doi.org/10.4070/kcj.2018.0446
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