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:
Aug. 11, 2026

Filed:

Apr. 01, 2022
Applicants:

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

Nec Corporation, Tokyo, JP;

Inventors:

Jingchao Ni, Princeton, NJ (US);

Wei Cheng, Princeton Junction, NJ (US);

Haifeng Chen, West Windsor, NJ (US);

Takayoshi Asakura, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/047 (2023.01); G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/70 (2018.01);
Abstract

Systems and methods for predicting an occurrence of a medical event for a patient using a trained neural network. Historical patient data is preprocessed to generate normalized training samples, and the normalized training samples are sent to a personalized deep convolutional neural network for model pretraining and updating of model parameters. The pretrained model is stored in a remote server for utilization by a local machine for personalization during a preparation time period for a medical treatment. A normalized finetuning set is generated as output, and the model parameters are iteratively finetuned. A personal prediction score for future medical events is generated, and an operation of a medical treatment device is controlled responsive to the prediction score.


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