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DECISION INFORMATION RECOMMENDATION METHOD AND APPARATUS, MEDICINE INFORMATION RECOMMENDATION METHOD AND APPARATUS, AND DEVICE AND MEDIUM

机译:决策信息推荐方法和装置,医学信息推荐方法和装置,以及设备和介质

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 decision information recommendation method and apparatus, a medicine information recommendation method and apparatus, and a device and a medium. The decision information recommendation method comprises: acquiring target feature information of a target pushing object; inputting the target feature information into a preset decision feature similarity model to obtain a decision classification tag corresponding to the target feature information; from a preset decision database constructed on the basis of historical decision data, acquiring sample decision information, a sample classification tag of which is the same as the decision classification tag; and when the sample decision information does not meet a preset recommendation requirement, acquiring a preset decision information conversion table, and when target decision information is queried from the preset decision information conversion table, pushing the target decision information to the target pushing object. In the method, the historical decision data and the decision information conversion table are combined, thereby improving the accuracy rate of decision information pushing.
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。公开了一种决定信息推荐方法和装置,药物信息推荐方法和装置,以及设备和介质。决策信息推荐方法包括:获取目标推动对象的目标特征信息;将目标特征信息输入到预设判定特征相似性模型中,以获得与目标特征信息相对应的判定分类标签;根据基于历史决策数据构造的预设判定数据库,获取样本决策信息,其样本分类标签与决策分类标签相同;当样本决策信息不符合预设推荐要求时,获取预设判定信息转换表,并且当从预设判定信息转换表中查询目标判定信息时,将目标决策信息推向目标推动对象。在该方法中,组合历史决策数据和判定信息转换表,从而提高了决策信息推动的精度率。

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