Patents by Inventor Yi-Ju Tseng

Yi-Ju Tseng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11011276
    Abstract: A method for establishing a computer-aided data interpretation model for immune diseases by immunomarkers and visualization is revealed. First combine a plurality of immunomarkers into an immunomarker panel. Then collect test data of a plurality of subjects measured by the immunomarker panel, and disease diagnosis information of the subjects for establishment of an immunomarker-panel testing database. Next new subjects are tested by the immunomarker panel. The data obtained and the corresponding information in the immunomarker-panel testing database are processed by unsupervised machine learning algorithm to get a computer-aided data interpretation model showing comparison of case distribution patterns. The method provides real-time analysis of multiple data to medical professionals for their reference. Thereby the correctness, the timeliness and the reproducibility of the interpretation result for the diagnosis and treatment of immune diseases are all improved.
    Type: Grant
    Filed: July 9, 2018
    Date of Patent: May 18, 2021
    Assignees: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, CHANG GUNG UNIVERSITY
    Inventors: Chun-Hsien Chen, Yi-Ju Tseng, Hsin-Yao Wang, Wan-Ying Lin, Chih-Kuang Chen
  • Publication number: 20200013513
    Abstract: A method for establishing a computer-aided data interpretation model for immune diseases by immunomarkers and visualization is revealed. First combine a plurality of immunomarkers into an immunomarker panel. Then collect test data of a plurality of subjects measured by the immunomarker panel, and disease diagnosis information of the subjects for establishment of an immunomarker-panel testing database. Next new subjects are tested by the immunomarker panel. The data obtained and the corresponding information in the immunomarker-panel testing database are processed by unsupervised machine learning algorithm to get a computer-aided data interpretation model showing comparison of case distribution patterns. The method provides real-time analysis of multiple data to medical professionals for their reference. Thereby the correctness, the timeliness and the reproducibility of the interpretation result for the diagnosis and treatment of immune diseases are all improved.
    Type: Application
    Filed: July 9, 2018
    Publication date: January 9, 2020
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University
    Inventors: Chun-Hsien Chen, Yi-Ju Tseng, Hsin-Yao Wang, Wan-Ying Lin, Chih-Kuang Chen
  • Publication number: 20190147136
    Abstract: A method of using machine learning algorithms in analyzing laboratory test results of body fluid to detect microbes in the body fluid includes using a body fluid detection module for analytic measurements in body fluid of a person to create biological samples; sending the biological samples of a plurality of persons and corresponding microbes infection statuses to perform machine learning algorithms to establish a microbes in body fluid prediction model; and sending data obtained from the body fluid detection of a patient for testing to the microbes in body fluid prediction model for operation and analysis in order to determine whether the microbes is present in body fluid.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University
    Inventors: Jang-Jih Lu, Chung-Chih Hung, Hsin-Yao Wang, Yi-Ju Tseng