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: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9160945/ |
| _version_ | 1818616854933929984 |
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| author | Xiaoqiang Tang Ming Zhang Haifeng Shi Changjie Pan |
| author_facet | Xiaoqiang Tang Ming Zhang Haifeng Shi Changjie Pan |
| author_sort | Xiaoqiang Tang |
| collection | DOAJ |
| description | 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, improved traditional cluster analysis and data mining methods, and proposed effective data mining methods for myocardial infarction. In addition, this study analyzes data sources by implementing clustering analysis algorithms and combines data mining algorithms to provide decision support information for disease research. Finally, this study uses experimental methods of image data analysis combined with data mining methods to record the results. The research shows that the algorithm of this study has certain feasibility and can provide theoretical reference for subsequent related research. |
| first_indexed | 2024-12-16T16:56:25Z |
| format | Article |
| id | doaj.art-99b4c19fd9b04f7e9c3ca32bdf196ec0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T16:56:25Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-99b4c19fd9b04f7e9c3ca32bdf196ec02022-12-21T22:23:52ZengIEEEIEEE Access2169-35362020-01-01814608514609210.1109/ACCESS.2020.30147249160945Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial InfarctionXiaoqiang Tang0https://orcid.org/0000-0003-1375-9633Ming Zhang1https://orcid.org/0000-0001-6349-2653Haifeng Shi2https://orcid.org/0000-0002-1998-6266Changjie Pan3https://orcid.org/0000-0002-8464-4529Department of Radiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Radiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Radiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Radiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, ChinaHow 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, improved traditional cluster analysis and data mining methods, and proposed effective data mining methods for myocardial infarction. In addition, this study analyzes data sources by implementing clustering analysis algorithms and combines data mining algorithms to provide decision support information for disease research. Finally, this study uses experimental methods of image data analysis combined with data mining methods to record the results. The research shows that the algorithm of this study has certain feasibility and can provide theoretical reference for subsequent related research.https://ieeexplore.ieee.org/document/9160945/Data miningmyocardial infarctionassociation rulespattern recognition |
| spellingShingle | Xiaoqiang Tang Ming Zhang Haifeng Shi Changjie Pan Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction IEEE Access Data mining myocardial infarction association rules pattern recognition |
| title | Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction |
| title_full | Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction |
| title_fullStr | Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction |
| title_full_unstemmed | Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction |
| title_short | Image Pattern Recognition Combined With Data Mining for Diagnosis and Detection of Myocardial Infarction |
| title_sort | image pattern recognition combined with data mining for diagnosis and detection of myocardial infarction |
| topic | Data mining myocardial infarction association rules pattern recognition |
| url | https://ieeexplore.ieee.org/document/9160945/ |
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