Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
SYSTEM AND METHOD FOR DIAGNOSING POLYCYSTIC OVARY SYNDROME
Document Type and Number:
WIPO Patent Application WO/2022/246882
Kind Code:
A1
Abstract:
A system for diagnosing polycystic ovary syndrome. The system comprises: a data collection module, which is used for acquiring an anti-Mullerian hormone (AMH) level of a subject, collecting an upper limit of the number of days of a menstrual cycle initiatively provided by the subject, collecting a BMI of the subject, and acquiring data of an androstenedione (AND) level of the subject; and a module for calculating the probability of suffering from polycystic ovary syndrome, which module is used for calculating the above data information acquired in the data collection module, thereby calculating the probability (p) of the subject suffering from polycystic ovary syndrome. By means of the system, the probability (p) of a subject suffering from polycystic ovary syndrome can be calculated, and the probability (p) of the subject suffering from polycystic ovary syndrome is grouped according to a default polycystic ovary syndrome grouping parameter pre-stored in the system, thereby determining the risk of the subject suffering from polycystic ovary syndrome.

Inventors:
LI RONG (CN)
XU HUIYU (CN)
QIAO JIE (CN)
FENG GUOSHUANG (CN)
HAN YONG (CN)
SHI LI (CN)
Application Number:
PCT/CN2021/097896
Publication Date:
December 01, 2022
Filing Date:
June 02, 2021
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
PEKING UNIV THIRD HOSPITAL THE THIRD CLINICAL MEDICAL SCHOOL OF PEKING UNIV (CN)
HANGZHOU QINGGUO MEDICAL TECH CO LTD (CN)
International Classes:
G16H50/20
Foreign References:
CN111524604A2020-08-11
CN111785389A2020-10-16
CN110570952A2019-12-13
CN109602394A2019-04-12
US20170107573A12017-04-20
Other References:
PAZILIYA, YASHENG ET AL.: "A Nomogram Model for Predicting Polycystic Ovary Syndrome", JOURNAL OF XINJIANG MEDICAL UNIVERSITY, vol. 43, no. 08, 31 August 2020 (2020-08-31), CN , pages 1113 - 1117, 1121, XP009541270, ISSN: 1009-5551
Attorney, Agent or Firm:
BEIJING CAI HE LAW FIRM (CN)
Download PDF: