Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction
How to apply data analysis algorithms to China's primary hospitals is still a problem that needs to be solved. In order to effectively explore the pathogenesis of myocardial infarction disease, this study collected a large amount of real data as a basis for data analysis through data survey, im...
Main Authors: | Xiaoqiang Tang, Ming Zhang, Haifeng Shi, Changjie Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9160945/ |
Similar Items
-
Discovering Patterns of Cardiovascular Disease and Diabetes in Myocardial Infarction Patients Using Association Rule Mining
by: Anju Singh, et al.
Published: (2022-09-01) -
Progression to myocardial infarction short-term death based on interval sequential pattern mining
by: Yang-Sheng Wu, et al.
Published: (2023-08-01) -
Damage-Associated Molecular Patterns in Myocardial Infarction and Heart Transplantation: The Road to Translational Success
by: Max J. M. Silvis, et al.
Published: (2020-12-01) -
Rising and Falling High‐Sensitivity Cardiac Troponin in Diagnostic Algorithms for Patients With Suspected Myocardial Infarction
by: Paul M. Haller, et al.
Published: (2023-05-01) -
Mining Hierarchical Negative Association Rules
by: David Taniar, et al.
Published: (2012-06-01)