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MACHINE-BASED RISK PREDICTION FOR PERI-PROCEDURAL MYOCARDIAL INFARCTION OR COMPLICATION FROM MEDICAL DATA
MACHINE-BASED RISK PREDICTION FOR PERI-PROCEDURAL MYOCARDIAL INFARCTION OR COMPLICATION FROM MEDICAL DATA
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机译:基于机器的风险预测Peri-provideraly心肌梗死或医学数据的复杂性
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摘要
Machine-based risk prediction or assistance is provided for peri-procedural complication, such as peri-procedural myocardial infarction (PMI). A machine-learned model (45) is used to predict (23) risk of PMI and/or recommend (24) courses of action to avoid PMI in PCI. Various combinations of types or modes of information are used in the prediction, such as both imaging (21) and non-imaging (21) data. The prediction (23) may be made prior to, during, and/or after PCI using the machine-learned model (45) to more quickly reduce the chance of PMI. The workflows for prior, during, and/or post PCI incorporate the risk prediction (23) and/or risk-based recommendations (24) to reduce PMI for patients.
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