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ARTIFICIAL INTELLIGENCE MEDICAL SYMPTOM RECOGNITION SYSTEM BASED ON END-TO-END LEARNING

机译:基于端到端学习的人工智能医学症状识别系统

摘要

A method and system for recognizing a medical symptom from a patient description. An exemplary artificial intelligence system includes a patient interaction interface configured to receive the patient description (103) including at least one span. The system also includes a processor (104). The processor (104) is configured to determine word vectors for words in a span and weights associated with the respective word vectors. The processor (104) is further configured to determine a weighted word vector based on the word vectors and the associated weights. The processor (104) is also configured to construct a span representation using the weighted word vector, and determine the medical symptom based on the span representation.
机译:一种用于从患者描述中识别医学症状的方法和系统。一种示例性人工智能系统包括患者交互界面,该患者交互界面被配置为接收包括至少一个跨度的患者描述(103)。该系统还包括处理器(104)。处理器(104)被配置为确定跨度中的单词的单词矢量以及与各个单词矢量相关联的权重。处理器(104)还被配置为基于词向量和相关联的权重来确定加权词向量。处理器(104)还被配置为使用加权词向量来构造跨度表示,并基于该跨度表示来确定医学症状。

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