Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
BIG DATA-BASED SYSTEM, METHOD, AND PROGRAM FOR PREDICTING RISK FOR DIABETES INCIDENCE
Document Type and Number:
WIPO Patent Application WO/2022/114793
Kind Code:
A1
Abstract:
The present invention relates to a big data-based system, method, and program for predicting risk for disease incidence, wherein big data is produced on the basis of metabolism syndrome incidence factors accumulated with time and is analyzed to recognize or predict incidence or risk degrees of specific diseases, whereby risky conditions can be prevented in advance.

Inventors:
KWON HUYK SANG (KR)
KOH EUN SIL (KR)
HONG OAK KEE (KR)
KIM MEE KYOUNG (KR)
KIM EUN SOOK (KR)
NAM GAEUN (KR)
HAN KYUNGDO (KR)
LEE MIN KYUNG (KR)
Application Number:
PCT/KR2021/017437
Publication Date:
June 02, 2022
Filing Date:
November 24, 2021
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
CATHOLIC UNIV KOREA IND ACADEMIC COOPERATION FOUNDATION (KR)
IUCF HYU (KR)
International Classes:
G16H50/50; A61B5/00; A61B5/145; G16H10/60; G16H50/20; G16H50/70
Foreign References:
KR20170047993A2017-05-08
KR101737279B12017-05-18
KR20190076237A2019-07-02
KR101510600B12015-04-08
KR20160043527A2016-04-21
Attorney, Agent or Firm:
BLT PATENT & LAW FIRM (KR)
Download PDF: