Park et al., 2020 - Google Patents
Myocardial infarction evaluation from stopping time decision toward interoperable algorithmic states in reinforcement learningPark et al., 2020
View HTML- Document ID
- 16127107470564737759
- Author
- Park J
- Chung S
- Hwang S
- Shin T
- Park J
- Publication year
- Publication venue
- BMC Medical Informatics and Decision Making
External Links
Snippet
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 …
- 238000011156 evaluation 0 title abstract description 62
Classifications
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
- G06Q50/24—Patient record management
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- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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- A—HUMAN NECESSITIES
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- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
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