Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning

Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learning

Abstract Background The Elliot wave principle commonly characterizes the impulsive and corrective wave trends for both financial market trends and electrocardiograms. The impulsive wave trends of electrocardiograms can annotate several wave components of heart-beats including pathological heartbeat...

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Bibliographic Details
Main Authors: Jong-Rul Park, Sung Phil Chung, Sung Yeon Hwang, Tae Gun Shin, Jong Eun Park
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Electrocardiogram
Myocardial infarction
Least-first-power approximation
Approximate entropy
Stopping time
Reinforcement learning
Online Access:http://link.springer.com/article/10.1186/s12911-020-01133-x

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http://link.springer.com/article/10.1186/s12911-020-01133-x

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