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Patent Searching and Data


Title:
STATISTICAL LEARNING FRAMEWORK FOR PREDICTION IN CLINICAL DATA IN WHICH SAMPLE SIZE IS SMALL AND DISTRIBUTION IS IMBALANCED
Document Type and Number:
WIPO Patent Application WO/2024/063195
Kind Code:
A1
Abstract:
The present invention pertains to a statistical learning system for analyzing the influence of an independent variable, which expands the size of a training set of training data and the number of repetitions and performs statistical analysis of a regression model considering multicollinearity by comprising: a statistical learning module on which a regression analysis model is mounted to perform binary classification on the basis of a cutoff of a dependent variable, wherein a normalization technique for maintaining a plurality of variable features while reducing the size of a training model coefficient, when learning a training data set including information of the independent variable, or a dimension conversion technique for converting a dimension of the independent variable without affecting the dependent variable is applied to the regression analysis model; a cutoff setting module that optimizes a value of the cutoff for each regression analysis model, the value being a reference of the binary classification of the statistical learning module; and a dataset expanding module that amplifies the number of learnings of the training data set by using a cross-validation.

Inventors:
LEE SEUNG-WON (KR)
CHOI MUN-HO (KR)
Application Number:
PCT/KR2022/016581
Publication Date:
March 28, 2024
Filing Date:
October 27, 2022
Export Citation:
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Assignee:
UNIV NAT CHONNAM IND FOUND (KR)
International Classes:
G16H50/70; G06N20/00; G06N20/20; G16H10/40; G16H30/00; G16H50/50; G16H70/00
Foreign References:
KR20190049342A2019-05-09
KR20190108559A2019-09-24
KR20210129853A2021-10-29
KR101688412B12016-12-21
KR20210143547A2021-11-29
Other References:
CHOI MUN-HO; OH SEOK; CHOI JANG YEOL; KIM JU HAN; LEE SEUNG-WON: "A statistical learning framework for predicting left ventricular ejection fraction based on glutathione peroxidase-3 level in ischemic heart disease", COMPUTERS IN BIOLOGY AND MEDICINE, NEW YORK, NY, US, vol. 149, 6 August 2022 (2022-08-06), US , XP087182110, ISSN: 0010-4825, DOI: 10.1016/j.compbiomed.2022.105929
Attorney, Agent or Firm:
LEE, Un Cheol (KR)
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