Patents by Inventor Wan-Ying Lin

Wan-Ying Lin 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: 20190216368
    Abstract: A method of predicting daily living activities performance of a person with disabilities includes establishing a rehabilitation assessments panel based on a plurality of rehabilitation evaluation scales and laboratory data; evaluating a plurality of persons with disabilities by the rehabilitation assessments panel; entering assessment results and the corresponding activities of daily living (ADL) performance into a machine learning platform; utilizing variable selection methods to select a plurality of variables having optimal classification performance from the rehabilitation assessments panel; executing a machine learning algorithm to create an ADL prediction model based on the selected variables; evaluating a participant in terms of the rehabilitation assessments panel; and entering assessment results into the ADL prediction model for calculation, thereby obtaining a prediction result of future ADL performance for the participant.
    Type: Application
    Filed: January 13, 2018
    Publication date: July 18, 2019
    Applicants: CHANG GUNG MEMORIAL HOSPITAL, LINKOU, Chang Gung University
    Inventors: Chih-Kuang Chen, Chun-Hsien Chen, Hsin-Yao Wang, Wan-Ying Lin