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RAPID ASSESSMENT AND OUTCOME ANALYSIS FOR MEDICAL PATIENTS

机译:医学患者的快速评估和结果分析

摘要

Machine learning (46) is used (26) to assess data for a patient in an emergency, providing (28) rapid diagnosis based on a large amount of information. Assistance in triage (30) may be provided. Given the large variety of patients and conditions that may occur, the machine learning (46) may rely on synthetically generated (42) images for more accurate prediction. The machine learning (46) may accurately predict (28) even with missing information and may be used to determine (34) what missing information for a given patient is more or less important to obtain.
机译:机器学习(46)用于(26)评估紧急情况下患者的数据,从而基于大量信息提供(28)快速诊断。可以提供分诊帮助(30)。给定各种各样的患者和可能发生的状况,机器学习(46)可以依靠合成生成的(42)图像来进行更准确的预测。机器学习(46)即使在缺少信息的情况下也可以准确地预测(28),并且可以用于确定(34)对于给定患者而言哪些缺失信息或多或少重要。

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