KR20210099605A - 클래스 불균형 세트의 다운샘플링과 생존 분석을 조합한 질병 위험도 판정 방법 - Google Patents

클래스 불균형 세트의 다운샘플링과 생존 분석을 조합한 질병 위험도 판정 방법 Download PDF

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KR20210099605A
KR20210099605A KR1020217020120A KR20217020120A KR20210099605A KR 20210099605 A KR20210099605 A KR 20210099605A KR 1020217020120 A KR1020217020120 A KR 1020217020120A KR 20217020120 A KR20217020120 A KR 20217020120A KR 20210099605 A KR20210099605 A KR 20210099605A
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욜란다 하가르
가르기 다타
레이 알렉산더
마이클 힌터베르그
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소마로직, 인크.
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
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    • A—HUMAN NECESSITIES
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    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
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    • A—HUMAN NECESSITIES
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    • A—HUMAN NECESSITIES
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    • A—HUMAN NECESSITIES
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    • A—HUMAN NECESSITIES
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    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
    • A61B5/14546—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring analytes not otherwise provided for, e.g. ions, cytochromes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A—HUMAN NECESSITIES
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    • A61B5/4869—Determining body composition
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    • A—HUMAN NECESSITIES
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7221—Determining signal validity, reliability or quality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • G—PHYSICS
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    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

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  • Computer Vision & Pattern Recognition (AREA)
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  • Fuzzy Systems (AREA)
  • Evolutionary Computation (AREA)
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KR1020217020120A 2018-11-29 2019-11-21 클래스 불균형 세트의 다운샘플링과 생존 분석을 조합한 질병 위험도 판정 방법 Pending KR20210099605A (ko)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201862773028P 2018-11-29 2018-11-29
US62/773,028 2018-11-29
US201862783733P 2018-12-21 2018-12-21
US62/783,733 2018-12-21
PCT/US2019/062561 WO2020112478A1 (en) 2018-11-29 2019-11-21 Methods for determining disease risk combining downsampling of class-imbalanced sets with survival analysis

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KR20210099605A true KR20210099605A (ko) 2021-08-12

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US (1) US20220015714A1 (https=)
EP (1) EP3886696A4 (https=)
JP (2) JP7680950B2 (https=)
KR (1) KR20210099605A (https=)
CN (1) CN113271849B (https=)
AU (1) AU2019385818B2 (https=)
CA (1) CA3120716A1 (https=)
IL (1) IL283467A (https=)
SG (1) SG11202105063QA (https=)
WO (1) WO2020112478A1 (https=)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102393367B1 (ko) 2021-11-15 2022-05-03 오브젠 주식회사 생존 분석 시스템 및 그 제어방법
KR102424884B1 (ko) 2021-11-18 2022-07-27 오브젠 주식회사 생존 데이터 정제 서버와 생존 데이터 분석 서버를 포함하는 시스템 및 그 제어방법
KR102688743B1 (ko) * 2023-08-16 2024-07-26 렉스이노베이션 주식회사 분산 배터리의 soh에 기초하여 이상을 탐지하는 방법

Families Citing this family (6)

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Publication number Priority date Publication date Assignee Title
US11996201B2 (en) * 2021-03-04 2024-05-28 Abbott Laboratories Technology to automatically identify the most relevant health failure risk factors
JP7322918B2 (ja) * 2021-03-29 2023-08-08 横河電機株式会社 プログラム、情報処理装置、及び学習モデルの生成方法
CN114548327A (zh) * 2022-04-27 2022-05-27 湖南工商大学 基于平衡子集的软件缺陷预测方法、系统、设备及介质
CN115114270B (zh) * 2022-06-14 2024-08-02 马上消费金融股份有限公司 数据降采样方法及装置、电子设备、计算机可读存储介质
US20250069754A1 (en) * 2023-08-22 2025-02-27 Elythea, Inc. Predicting risk of pregnancy-related complications using machine learning
CN121015165A (zh) * 2025-06-30 2025-11-28 延边大学 基于多模态特征融合的睡眠呼吸暂停识别方法

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* Cited by examiner, † Cited by third party
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US7982066B2 (en) * 2005-12-09 2011-07-19 Novalife, Inc. High protein supplement
US7947447B2 (en) 2007-01-16 2011-05-24 Somalogic, Inc. Method for generating aptamers with improved off-rates
AU2010328019A1 (en) * 2009-12-09 2012-06-28 Aviir, Inc. Biomarker assay for diagnosis and classification of cardiovascular disease
US20120269418A1 (en) * 2011-04-22 2012-10-25 Ge Global Research Analyzing the expression of biomarkers in cells with clusters
CN104573708A (zh) * 2014-12-19 2015-04-29 天津大学 组合降采样极限学习机
WO2017059022A1 (en) * 2015-09-30 2017-04-06 Inform Genomics, Inc. Systems and methods for predicting treatment-regiment-related outcomes
CN109906275B (zh) * 2016-06-08 2023-05-12 爱荷华大学研究基金会 检测心血管疾病易感性的组合物和方法
GB201614394D0 (en) * 2016-08-23 2016-10-05 Imp Innovations Ltd Method
EP3510173A4 (en) * 2016-09-07 2020-05-20 Veracyte, Inc. METHODS AND SYSTEMS FOR DETECTING COMMON INTERSTITIAL PNEUMONIA
ES2944613T3 (es) * 2017-02-02 2023-06-22 Brahms Gmbh proADM y/o histonas como marcadores indicadores de un acontecimiento adverso
AU2018100796A4 (en) * 2018-06-14 2018-07-19 Macau University Of Science And Technology A genetic feature identifying system and a search method for identifying features of genetic information

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102393367B1 (ko) 2021-11-15 2022-05-03 오브젠 주식회사 생존 분석 시스템 및 그 제어방법
KR102424884B1 (ko) 2021-11-18 2022-07-27 오브젠 주식회사 생존 데이터 정제 서버와 생존 데이터 분석 서버를 포함하는 시스템 및 그 제어방법
KR102688743B1 (ko) * 2023-08-16 2024-07-26 렉스이노베이션 주식회사 분산 배터리의 soh에 기초하여 이상을 탐지하는 방법

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CN113271849A (zh) 2021-08-17
AU2019385818B2 (en) 2025-04-24
CA3120716A1 (en) 2020-06-04
JP7680950B2 (ja) 2025-05-21
WO2020112478A1 (en) 2020-06-04
CN113271849B (zh) 2024-08-30
AU2019385818A1 (en) 2021-07-08
JP2025061136A (ja) 2025-04-10
IL283467A (en) 2021-07-29
US20220015714A1 (en) 2022-01-20
EP3886696A4 (en) 2022-08-24
JP2022509835A (ja) 2022-01-24
EP3886696A1 (en) 2021-10-06
SG11202105063QA (en) 2021-06-29

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