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:
Feb. 18, 2025

Filed:

Apr. 03, 2024
Applicants:

University of Science and Technology Beijing, Beijing, CN;

Peking Union Medical College, Beijing, CN;

Inventors:

Hongzhen Cui, Beijing, CN;

Meihua Piao, Beijing, CN;

Yunfeng Peng, Beijing, CN;

Shichao Wang, Beijing, CN;

Longhao Zhang, Beijing, CN;

Haoming Ma, Beijing, CN;

Xiaoyue Zhu, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 50/70 (2018.01); G16H 70/40 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 50/70 (2018.01); G16H 70/40 (2018.01);
Abstract

The present disclosure provides an intelligent decision reasoning method for type-based diagnosis and treatment of a cardiovascular disease, a device, and a product, and relates to the medical field. The present disclosure adopts a risk factor mining model of a cardiovascular disease and a drug attribute association mining model of the cardiovascular disease to extract relevant information from cardiovascular data, achieving precise prediction of a fine-grained cardiovascular disease type and effectively promoting precision medicine. Based on a clinical diagnostic dataset and a clinical symptom diagnosis knowledge system of the cardiovascular disease, a type-based auxiliary diagnosis model of the cardiovascular disease is constructed, and intelligent decision reasoning is performed to obtain an association rule. This achieves efficient integration of type-based decision support of the cardiovascular disease and a medical convalescence knowledge base of the cardiovascular disease, and enhances quality of a cardiovascular medical convalescence association rule set.


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