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1.发明申请公开(公告)号：US20210209482A1
公开(公告)日：2021-07-08
申请号：US17208485
申请日：2021-03-22
Inventor： Zhihui XING , Jun CHEN , Chao LU , Haifeng HUANG
IPC: G06N5/02 , G06F16/901
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.
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公开(公告)号：US20210375479A1
公开(公告)日：2021-12-02
申请号：US17116972
申请日：2020-12-09
Inventor： Quan YUAN , Jun CHEN , Chao LU , Haifeng HUANG
Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing electronic medical record data, a device and a medium. An embodiment of the method includes: acquiring symptom entity data in electronic medical record data; obtaining symptom entity representation data based on the symptom entity data and a symptom entity representation model pre-obtained by training; the symptom entity representation model including a graph convolutional neural network layer; and obtaining a disease prediction result corresponding to the electronic medical record data, based on the symptom entity representation data and a classification model pre-obtained by training.
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