The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 25, 2025

Filed:

Sep. 19, 2023
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Jingchao Ni, Princeton, NJ (US);

Wei Cheng, Princeton Junction, NJ (US);

Haifeng Chen, West Windsor, NJ (US);

Assignee:

NEC Corporation, Tokyo, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01); G16H 20/10 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01); G16H 20/10 (2018.01); G16H 50/70 (2018.01);
Abstract

A computer-implemented method for model building is provided. The method includes receiving a training set of medical records and model hyperparameters. The method further includes initializing an encoder as a Dual-Channel Combiner Network (DCNN) and initialize distribution related parameters. The method also includes performing, by a hardware processor, a forward computation to (1) the DCNN to obtain the embeddings of the medical records, and (2) the distribution related parameters to obtain class probabilities. The method additionally includes checking by a convergence evaluator if the iterative optimization has converged. The method further includes performing model personalization responsive to model convergence by encoding the support data of a new patient and using the embeddings and event subtype labels to train a personalized classifier.


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