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:
Mar. 26, 2024

Filed:

Jul. 08, 2022
Applicants:

Taichung Veterans General Hospital, Taichung, TW;

Tunghai University, Taichung, TW;

Inventors:

Chieh-Liang Wu, Taichung, TW;

Chun-Te Huang, Taichung, TW;

Cheng-Hsu Chen, Taichung, TW;

Tsai-Jung Wang, Taichung, TW;

Kai-Chih Pai, Taichung, TW;

Chun-Ming Lai, Taichung, TW;

Min-Shian Wang, Taichung, TW;

Ruey-Kai Sheu, Taichung, TW;

Lun-Chi Chen, Taichung, TW;

Yan-Nan Lin, Taichung, TW;

Chien-Lun Liao, Taichung, TW;

Ta-Chun Hung, Taichung, TW;

Chien-Chung Huang, Taichung, TW;

Chia-Tien Hsu, Taichung, TW;

Shang-Feng Tsai, Taichung, TW;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/20 (2006.01); A61B 5/00 (2006.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
A61B 5/201 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G16H 50/20 (2018.01);
Abstract

An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.


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