Method and apparatus for verifying accuracy of judgment result, electronic device and medium

    公开(公告)号:US12159235B2

    公开(公告)日:2024-12-03

    申请号:US17208485

    申请日:2021-03-22

    Abstract: A method and apparatus for verifying accuracy of a judgment result, an electronic device and a computer readable storage medium are provided. The method may include: acquiring user description information and a judgment result corresponding to the user description information; extracting at least one descriptive element from the user description information; determining a matching degree between each of the at least one descriptive element and the judgment result using a preset verification model to obtain each actual matching value respectively; the verification model being obtained by training based on a term frequency-inverse document frequency relationship between the descriptive element and the judgment result; and determining the descriptive element having the actual matching value exceeding a preset matching value as a first element, and determining accuracy of the judgment result based on the number of the first element.

    DRUG RECOMMENDATION METHOD AND DEVICE, ELECTRONIC APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:US20210407642A1

    公开(公告)日:2021-12-30

    申请号:US17108367

    申请日:2020-12-01

    Abstract: A drug recommendation method and device, an electronic apparatus, and a storage medium are provided, which are related to the fields of artificial intelligence deep learning technology, intelligent recommendation, and knowledge graph. The specific implementation includes: acquiring related information of a target object; and determining drug recommendation information for the target object based on the related information of the target object and a first model, where the drug recommendation information contains information of at least one drug, where the first model is a model obtained by performing iterative processing on output information of a second model, and the second model is used for evaluating drug recommendation information output by the first model during the iterative processing, to obtain an evaluation result of the drug recommendation information.

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