Utilizing Chinese Admission Records for Mace Prediction of Acute Coronary Syndrome
Bibliographic Data
| ID | 15467406 |
|---|---|
| Authors | Danqing Hu (0000-0003-0810-4819, Zhejiang University), Zhengxing Huang (0000-0002-2644-8642, Zhejiang University, corresponding author), Tak-Ming Chan (Philips (China)), Wei Dong (0000-0002-7632-2386, Chinese PLA General Hospital), Xudong Lü (0000-0001-7658-5250, Zhejiang University), Huilong Duan (0000-0003-3893-213X, Zhejiang University) |
| Year | 2016 |
| Volume | 13 |
| Issue | 9 |
| Pages | 912-912 |
| Publication date | 2016-09-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph13090912 |
| PMID | 27649220 |
| OpenAlex | W2520547729 |
| Language | EN |
| References cited | 36 |
Experimental results reveal that our approach can obtain competitive performance in MACE prediction. The comparison of classifiers indicates the proposed approach has a competitive generality with datasets extracted by different feature extraction methods. Furthermore, our MACE prediction model obtained a significant improvement by comparison with both GRACE and TIMI. It indicates that using admission records can effectively provide MACE prediction service for ACS patients at the early stage of their hospitalizations
Acute coronary syndrome · Cardiology · Conventional PCI · Mace · Myocardial infarction · Artificial Intelligence in Healthcare · Machine Learning in Healthcare · Medicine · Traditional Chinese Medicine Studies · Internal Medicine
| Highly cited | No |
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