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Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome
BACKGROUND: Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly valuable for improving the effects of ACS treatments. Most existing tools are spe...
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| Veröffentlicht in: | BMC Med Inform Decis Mak |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6325718/ https://ncbi.nlm.nih.gov/pubmed/30626381 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-018-0730-7 |
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