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MACHINE-BASED RISK PREDICTION FOR PERI-PROCEDURAL MYOCARDIAL INFARCTION OR COMPLICATION FROM MEDICAL DATA

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

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.
机译:提供基于机器的风险预测或辅助,用于Peri-proplacition复制,例如Peri-properationy心肌梗死(PMI)。 机器学习模型(45)用于预测(23)PMI和/或推荐(24)行动方案的风险,以避免PCI中的PMI。 在预测中使用类型或信息模式的各种组合,例如成像(21)和非成像(21)数据。 在PCI期间,使用机器学习模型(45)之前,可以在PCI期间和/或之后进行预测(23),以更快地减少PMI的机会。 PCI期间,期间和/或后PCI的工作流包含风险预测(23)和/或基于风险的建议(24)以减少患者的PMI。

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