公开(公告)号：US20240112804A1

公开(公告)日：2024-04-04

申请号：US18375914

申请日：2023-10-02

Applicant: Google LLC

Inventor： Itay Laish ,  Uri N. Lerner ,  Aviel Atias ,  Natan Potikha ,  Ayelet Benjamini

IPC: G16H50/20 ,  G06F40/166 ,  G06F40/295 ,  G16H10/60 ,  G16H15/00

CPC classification number: G16H50/20 ,  G06F40/166 ,  G06F40/295 ,  G16H10/60 ,  G16H15/00

Abstract: A computer-implemented method for matching unstructured text to ontology entities in a clinical ontology is described. The method includes receiving one or more clinical notes associated with a patient; for each of the one or more clinical notes: extracting, using a neural network, one or more text spans from unstructured text in each clinical note, each of the one or more text spans identifying a respective input phrase in the unstructured text; for each of the one or more text spans, matching, using a text matcher, the text span with a respective output ontology entity from an ontology, the respective output ontology entity relating to a clinical condition of the patient; and outputting data defining the one or more text spans and the respective output ontology entity for each of the one or more text spans.

公开(公告)号：US20240363207A1

公开(公告)日：2024-10-31

申请号：US18307481

申请日：2023-04-26

Applicant: Google LLC

Inventor： Itay Laish ,  Natan Potikha ,  Rachana Fellinger ,  Thidanun Saensuksopa ,  Eran Ofek ,  Ayelet Benjamini

IPC: G16H10/60 ,  G06F16/215 ,  G06F16/23

CPC classification number: G16H10/60 ,  G06F16/215 ,  G06F16/2365

Abstract: Systems and methods for detecting duplications in electronic record systems are provided. A computing system can include one or more processors and a non-transitory computer-readable memory that stores instructions that, when executed by the one or more processors, cause the computing system to perform operations including accessing one or more scanned documents; converting each document of the one or more scanned documents into one or more text streams; determining one or more characteristics of each document of the one or more scanned documents; responsive to determining the one or more characteristics, generating respective embeddings associated with each document of the one or more scanned documents; and determining a respective similarity score for each document of the one or more scanned documents based, at least in part, on a similarity metric.