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TRIAGE INFORMATION RECOMMENDATION METHOD AND APPARATUS BASED ON INTERPRETATION MODEL, AND DEVICE AND MEDIUM

机译:基于解释模型的分类信息推荐方法和装置,以及设备和媒介

摘要

The present application relates to the technical field of artificial intelligence, and is applied to the field of smart medical treatment, so as to promote the construction of smart cities. Disclosed are a triage information recommendation method and apparatus based on an interpretation model, and a device and a medium. The method comprises: inputting acquired feature information text, which is input by an object to be subjected to triage, into a preset interpretation model, and performing interpretation processing on the feature information text to obtain an interpretation result corresponding to the feature information text; comparing a matching value corresponding to each word in the feature information text with a preset matching threshold value to determine whether there are triage interpretation words in the feature information text; when there are triage interpretation words in the feature information text, inputting the feature information text into a preset triage decision model to perform triage processing on the feature information text to obtain triage information; and associatively pushing the triage information and the triage interpretation words to said object. According to the present application, the utilization rate and efficiency of a preset triage decision model are improved, and the accuracy rate of triage information is improved.
机译:本申请涉及人工智能技术领域,应用于智能医疗领域,以促进智能城市的建设。公开了一种基于解释模型的分类信息推荐方法和装置,以及设备和介质。该方法包括:输入获取的特征信息文本,其被要经历分类的对象输入到预设的解释模型中,并对特征信息文本执行解释处理以获得与特征信息文本相对应的解释结果;将与特征信息文本中的每个单词相对应的匹配值与预设匹配阈值进行比较,以确定特征信息文本中是否存在分类解释单词;当特征信息中有分类解释词语时,将特征信息文本输入到预设的分类决策模型中,以对特征信息文本执行分类处理以获得分类信息;并将分类信息和分类解释单词与所述对象相关联。根据本申请,预设分类决策模型的利用率和效率得到改善,并且改善了分类信息的精度率。

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