Prediction information generation method, device and equipment for medical knowledge graph
A technology for predicting information and medical knowledge, applied in the computer field, it can solve problems such as difficulty in determining the user's retrieval intention, and achieve the effect of improving user experience and predicting accurate information.
Pending Publication Date: 2022-04-12
北京医述科技有限合伙企业(有限合伙)
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[0004] In view of this, the embodiments of the present disclosure provide a prediction information generation method, device and equipment for medical knowledge graphs, so as to solve the problem in the prior art that it is difficult to determine the user's retrieval intention and predict the information required by the user
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[0016] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and techniques are presented for a thorough understanding of the embodiments of the present disclosure. It will be apparent, however, to one skilled in the art that the present disclosure may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
[0017] A method, device, and device for generating prediction information for a medical knowledge map according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.
[0018] figure 1 It is a schematic diagram of an application scenario of a prediction information generation method for a medical knowledge map according ...
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The embodiment of the invention discloses a prediction information generation method, device and equipment for a medical knowledge graph. A specific embodiment of the method comprises the steps of obtaining a retrieval formula input by a user on a target device for a medical knowledge graph; inputting the retrieval formula into a pre-trained prediction information generation model, and generating prediction information corresponding to the retrieval formula; wherein the prediction information generation model at least comprises a natural language processing network and a retrieval comparison network, the natural language processing network is used for generating a text vector of the retrieval formula, and the retrieval comparison network is used for performing retrieval based on the text vector; and transmitting the prediction information to the target equipment, and controlling the target equipment to display the prediction information. According to the embodiment, the retrieval input by the user is analyzed by using the machine learning model, so that the generated prediction information is more accurate and better meets the requirements of the user, and the user experience is indirectly improved.
Description
technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, device and device for generating prediction information for medical knowledge graphs. Background technique [0002] Knowledge graph is a formalized description framework based on semantic knowledge. Nodes are usually used to represent semantic symbols, and connections between nodes can be used to represent semantic relationships between symbols. [0003] More and more users use the medical knowledge graph to retrieve the required pathological knowledge or pharmacological knowledge. In order to provide users with more accurate retrieval results, an effective analysis method to determine the user's retrieval intention is needed. Contents of the invention [0004] In view of this, the embodiments of the present disclosure provide a prediction information generation method, device and equipment for medical knowledge graphs, so as to solve ...
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Inventor 段小霞赵郑于言言吴春芳
Owner 北京医述科技有限合伙企业(有限合伙)