公开(公告)号：US20210256044A1

公开(公告)日：2021-08-19

申请号：US17302385

申请日：2021-04-30

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Dongwei ZHU ,  Haifeng HUANG ,  Chao LU ,  Jialin WU ,  Yuan XIA ,  Xueying SHI ,  Xiaoqin LI ,  Xiaoming HU

IPC: G06F16/332 ,  G06F16/335 ,  G06F16/338 ,  G06F16/34 ,  G06Q30/02

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing consultation information. A specific implementation of the method includes: pushing, in response to receiving consultation information of a first user, a questionnaire corresponding to the consultation information to the first user; acquiring a questionnaire result corresponding to the questionnaire and submitted by the first user; inputting the questionnaire result into a preset consultation model, to obtain a first consultation result; pushing the questionnaire result and the first consultation result to a second user; and in response to receiving a second consultation result provided by the second user based on the questionnaire result and the first consultation result, pushing the second consultation result to the first user.

公开(公告)号：US20210375479A1

公开(公告)日：2021-12-02

申请号：US17116972

申请日：2020-12-09

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Quan YUAN ,  Jun CHEN ,  Chao LU ,  Haifeng HUANG

IPC: G16H50/70 ,  G16H10/60 ,  G16H70/60 ,  G16H50/20 ,  G06N3/04

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.

公开(公告)号：US20210209482A1

公开(公告)日：2021-07-08

申请号：US17208485

申请日：2021-03-22

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

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.