公开(公告)号：US20240282465A1

公开(公告)日：2024-08-22

申请号：US18212727

申请日：2023-06-22

Applicant: ZHEJIANG LAB

Inventor： Zenghui XU ,  YU ZHANG ,  Zhan ZHANG ,  Ting YU ,  Jin ZHAO ,  Linlin HOU

IPC: G16H50/80

CPC classification number: G16H50/80

Abstract: A method of predicting infectious disease infections and a system thereof, a device, and a storage medium are provided. An increment module controls an input module to obtain new incremental data in the current cycle in response to a preset instruction. A graph engine iteratively trains a first graph model based on new incremental data until the first graph model meets a convergence condition, so as to obtain a second graph model and perform dynamic updating of the graph model. Each region acts as a node in the graph model, each node feature is obtained based on the regional disease information, edges are defined by nodes connected to each other according to a geographic location relationship among regions, and each edge is assigned an edge weight according to regional population information. The updated graph model predicts infections based on data to be predicted that is selected by the interaction module.

公开(公告)号：US20250132057A1

公开(公告)日：2025-04-24

申请号：US18600800

申请日：2024-03-11

Applicant: ZHEJIANG LAB

Inventor： Zenghui XU ,  Ji ZHANG ,  Yu ZHANG ,  Ting YU ,  Jin ZHAO ,  Linlin HOU ,  Zhan ZHANG

IPC: G16H50/80

Abstract: An infectious disease infection prediction method, an apparatus, and a storage medium based on macro-micrograph fusion are provided. The method includes: acquiring macrographs of a plurality of first regions and micrographs of second regions within a set period; inputting the macroscopic graphs and the microscopic graphs into two graph convolutional neural networks to obtain two hidden layer vectors respectively, and fusing the two hidden layer vectors to obtain fusion hidden layer information of the first regions; performing a time sequence calculation of the fusion hidden layer information to obtain time sequence hidden layer information of the first regions; inputting the time series hidden layer information into two prediction networks to obtain two prediction results, respectively, and performing fusion calculation of the two prediction results to obtain a final prediction result of infectious diseases in the first regions.

公开(公告)号：US20240273118A1

公开(公告)日：2024-08-15

申请号：US18472202

申请日：2023-09-21

Applicant: ZHEJIANG LAB

Inventor： Ting JIANG ,  Yu ZHANG ,  Ting YU ,  Ji ZHANG ,  Linlin HOU ,  Jin ZHAO

IPC: G06F16/28

CPC classification number: G06F16/285

Abstract: A data classification method and apparatus, a device and a storage medium. A structural feature of the respective node in graph data may be determined according to a neighbor node of the respective node in the graph data through a deviation between the decoded feature obtained by decoding the embedded coding feature of the respective node in the graph data and the initial feature of the respective node, and then the embedded coding feature corresponding to the respective node is adjusted according to the decoded feature of the respective node and the structural feature of the respective node in the graph data to obtain the adjusted feature corresponding to the respective node, so that accuracy of an obtained feature of the respective node is improved, and thus accuracy of data classification may be improved.