Title:
MASS SPECTRAL ANALYSIS METHOD FOR PREDICTION OF HIGH-RISK PREGNANCY DISEASE USING MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/200073
Kind Code:
A1
Abstract:
The present invention relates to a mass spectral analysis method for prediction of high-risk pregnancy disease using machine learning. In a mass spectral analysis method for early prediction of high-risk pregnancy disease according to an aspect, mass spectrum data of high-risk pregnancy disease patients is acquired, the levels of in-vivo substances that change in high-risk pregnancy disease patients are measured and compared in terms of the shape and size of peaks, and a prediction model therefor is constructed using machine learning, whereby the method has a useful effect in early prediction or identification of pregnancy diseases such as gestational diabetes, preeclampsia, and premature birth before the onset of diseases in the early and middle stages of pregnancy.
Inventors:
RYU HYUN MEE (KR)
LIM JI HYAE (KR)
HAN YOU JUNG (KR)
LIM JI HYAE (KR)
HAN YOU JUNG (KR)
Application Number:
PCT/KR2022/021618
Publication Date:
October 19, 2023
Filing Date:
December 29, 2022
Export Citation:
Assignee:
SUNGKWANG MEDICAL FOUND (KR)
International Classes:
G16H50/20; G01N33/49; G06N3/04; G06N20/00; G16H10/60; G16H50/50
Domestic Patent References:
| WO2019152745A1 | 2019-08-08 |
Foreign References:
| JP2022519897A | 2022-03-25 | |||
| JP2017535750A | 2017-11-30 | |||
| JP2016518589A | 2016-06-23 | |||
| KR20200013161A | 2020-02-06 |
Attorney, Agent or Firm:
THEWAVE IP LAW FIRM (KR)
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