PATHOGENICITY DETERMINATION DEVICE, PATHOGENICITY DETERMINATION METHOD, MACHINE LEARNING METHOD, AND LEARNED MODEL GENERATION METHOD

    公开(公告)号:US20250166825A1

    公开(公告)日:2025-05-22

    申请号:US18929245

    申请日:2024-10-28

    Applicant: Hitachi, Ltd.

    Abstract: A pathogenicity determination device of the present disclosure includes: an input device that receives inputs of genetic mutation information indicating a genetic mutation, and genetic mutation-related information related to the genetic mutation information; a processor that estimates a first score related to presence or absence of a pathological significance of the genetic mutation and a second score related to strength or sufficiency of evidence related to the genetic mutation, based on the genetic mutation information and the genetic mutation-related information; and an output device that outputs the estimated first score and the estimated second score.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20240330366A1

    公开(公告)日:2024-10-03

    申请号:US18435258

    申请日:2024-02-07

    Applicant: Hitachi, Ltd.

    CPC classification number: G06F16/9024

    Abstract: A technique is provided for preventing an increase in calculation time in processing using a graph. An information processing method includes: calculating, by a processor, for a node of interest which is a node to be of interest in graph data, an index value relevant to a centrality of the node of interest; adding to the node of interest, by the processor, edges connected to a node group reached along one edge from the node of interest and storing an attribute of the node of interest as a node group in a memory when the index value of the centrality conforms to a condition; extracting, by the processor, a graph including the node of interest from a database related to a node interaction when the index value of the centrality does not conform to a condition; and integrating, by the processor, the extracted graph and the graph data.

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