RU2720448C2 - Достоверный классификатор - Google Patents

Достоверный классификатор Download PDF

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RU2720448C2
RU2720448C2 RU2017131909A RU2017131909A RU2720448C2 RU 2720448 C2 RU2720448 C2 RU 2720448C2 RU 2017131909 A RU2017131909 A RU 2017131909A RU 2017131909 A RU2017131909 A RU 2017131909A RU 2720448 C2 RU2720448 C2 RU 2720448C2
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RU2017131909A
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Брайан КОНРОЙ
Ларри Джеймс ЭШЕЛЬМАН
Кристиан ПОТС
Миньнань СЮЙ
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Конинклейке Филипс Н.В.
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/02028—Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • 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
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/06—Arrangements for sorting, selecting, merging, or comparing data on individual record carriers
    • G06F7/08—Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/03—Intensive care

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
  • Physiology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computing Systems (AREA)
  • Cardiology (AREA)
  • Fuzzy Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Algebra (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Operations Research (AREA)
RU2017131909A 2015-02-12 2016-02-05 Достоверный классификатор RU2720448C2 (ru)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562115330P 2015-02-12 2015-02-12
US62/115,330 2015-02-12
PCT/IB2016/050592 WO2016128866A1 (en) 2015-02-12 2016-02-05 Robust classifier

Publications (3)

Publication Number Publication Date
RU2017131909A RU2017131909A (ru) 2019-03-12
RU2017131909A3 RU2017131909A3 (https=) 2019-09-27
RU2720448C2 true RU2720448C2 (ru) 2020-04-29

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US (1) US10929774B2 (https=)
EP (1) EP3256956A1 (https=)
JP (1) JP6770521B2 (https=)
CN (1) CN107249434B (https=)
BR (1) BR112017017079A2 (https=)
RU (1) RU2720448C2 (https=)
WO (1) WO2016128866A1 (https=)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10929774B2 (en) * 2015-02-12 2021-02-23 Koninklijke Philips N.V. Robust classifier
US10528889B2 (en) * 2016-03-25 2020-01-07 Futurewei Technologies, Inc. Stereoscopic learning for classification
US11011264B2 (en) 2017-08-09 2021-05-18 Varian Medical Systems International Ag Radiotherapy treatment planning using artificial intelligence (AI) engines
EP3514908B1 (en) * 2018-01-22 2022-02-09 Hitachi Energy Switzerland AG Methods and devices for condition classification of power network assets
US12462170B2 (en) * 2018-08-24 2025-11-04 Ntt Docomo, Inc. Prediction interpretation apparatus and prediction interpretation method
KR102811789B1 (ko) * 2018-09-19 2025-05-27 엘지전자 주식회사 인공지능 장치
EP3690760B1 (en) * 2019-02-04 2022-10-26 Robert Bosch GmbH Device and method to improve the robustness against adversarial examples
US20230040185A1 (en) * 2020-01-10 2023-02-09 Prenosis, Inc. A time-sensitive trigger for a streaming data environment
EP4117514B1 (en) * 2020-03-10 2025-07-30 Koninklijke Philips N.V. Waveform-based hemodynamic instability warning
JP7564935B2 (ja) * 2020-07-16 2024-10-09 コーニンクレッカ フィリップス エヌ ヴェ 超音波データプロセッサ
JP7504783B2 (ja) * 2020-12-09 2024-06-24 株式会社日立製作所 予測器作成装置、および予測器作成方法
FR3142807B1 (fr) * 2022-12-01 2024-10-18 Valeo Comfort & Driving Assistance Localisation de dispositif UWB

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040193036A1 (en) * 2003-03-12 2004-09-30 Zhou Xiang Sean System and method for performing probabilistic classification and decision support using multidimensional medical image databases
US20060062451A1 (en) * 2001-12-08 2006-03-23 Microsoft Corporation Method for boosting the performance of machine-learning classifiers
US20060120609A1 (en) * 2004-12-06 2006-06-08 Yuri Ivanov Confidence weighted classifier combination for multi-modal identification
US20060184475A1 (en) * 2005-02-16 2006-08-17 Sriram Krishnan Missing data approaches in medical decision support systems
RU2517286C2 (ru) * 2008-04-25 2014-05-27 Конинклейке Филипс Электроникс Н.В. Классификация данных выборок

Family Cites Families (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2661265B1 (fr) * 1990-04-24 1994-07-29 Thomson Csf Systeme neuronal de classification et procede de classification utilisant un tel systeme.
JPH0454685A (ja) * 1990-06-22 1992-02-21 Kobe Steel Ltd 状熊学習装置及び状態推定装置
JP2758260B2 (ja) * 1990-10-04 1998-05-28 株式会社東芝 欠陥検査装置
JP3351639B2 (ja) * 1993-10-18 2002-12-03 グローリー工業株式会社 ランダムマスク方式による紙葉類のニューロ識別／正損分離装置
US5835902A (en) * 1994-11-02 1998-11-10 Jannarone; Robert J. Concurrent learning and performance information processing system
US6192360B1 (en) * 1998-06-23 2001-02-20 Microsoft Corporation Methods and apparatus for classifying text and for building a text classifier
US7536044B2 (en) * 2003-11-19 2009-05-19 Siemens Medical Solutions Usa, Inc. System and method for detecting and matching anatomical structures using appearance and shape
US9189596B2 (en) * 2005-06-29 2015-11-17 National Ict Australia Limited Measuring cognitive load
JP2007025978A (ja) * 2005-07-14 2007-02-01 Mitsubishi Electric Corp 類別装置
CN100363938C (zh) * 2005-10-31 2008-01-23 浙江大学 基于得分差加权融合的多模态身份识别方法
US8386401B2 (en) * 2008-09-10 2013-02-26 Digital Infuzion, Inc. Machine learning methods and systems for identifying patterns in data using a plurality of learning machines wherein the learning machine that optimizes a performance function is selected
KR100982612B1 (ko) 2009-09-09 2010-09-15 박효남 정밀 약액 주입량 조절장치
CN101777125B (zh) 2010-02-03 2012-01-11 武汉大学 一种高分辨率遥感图像复杂类别的监督分类方法
WO2012107786A1 (en) * 2011-02-09 2012-08-16 Rudjer Boskovic Institute System and method for blind extraction of features from measurement data
CN102750286B (zh) 2011-04-21 2016-01-20 常州蓝城信息科技有限公司 一种处理缺失数据的新型决策树分类器方法
CN102254180B (zh) * 2011-06-28 2014-07-09 北京交通大学 一种基于几何特征的人脸美感分析方法
CN102955946A (zh) 2011-08-18 2013-03-06 刘军 基于线性分类树和神经网络的两阶段快速分类器
US9141622B1 (en) * 2011-09-16 2015-09-22 Google Inc. Feature weight training techniques
US9389431B2 (en) * 2011-11-04 2016-07-12 Massachusetts Eye & Ear Infirmary Contextual image stabilization
JP5865053B2 (ja) 2011-12-15 2016-02-17 キヤノン株式会社 座標入力装置、座標入力装置の制御方法、およびプログラム
JP6071002B2 (ja) * 2012-02-16 2017-02-01 日本電気株式会社 信頼度取得装置、信頼度取得方法および信頼度取得プログラム
WO2013125482A1 (ja) * 2012-02-24 2013-08-29 日本電気株式会社 文書評価装置、文書評価方法、及びコンピュータ読み取り可能な記録媒体
BR112014028599A2 (pt) * 2012-05-18 2017-06-27 Koninklijke Philips Nv sistema médico para monitorar um paciente; método médico para monitorar um paciente; processador programado para realizar o método; e meio não transitório legível por computador
CN102819745B (zh) * 2012-07-04 2014-11-05 杭州电子科技大学 一种基于AdaBoost的高光谱遥感影像分类方法
US9959390B2 (en) * 2012-08-31 2018-05-01 Koninklijke Philips N.V. Modeling techniques for predicting mortality in intensive care units
CN102945255B (zh) * 2012-10-18 2016-06-22 浙江大学 跨媒体多视角非完美标签学习方法
CN105530857B (zh) * 2013-09-09 2019-05-10 皇家飞利浦有限公司 根据母体腹部ecg记录的胎儿心率提取
CN103761531B (zh) * 2014-01-20 2016-04-06 西安理工大学 基于形状轮廓特征的稀疏编码车牌字符识别方法
CN104035779A (zh) 2014-06-25 2014-09-10 中国科学院软件研究所 一种数据流决策树分类中的缺失值处理方法
US10456087B2 (en) * 2014-11-20 2019-10-29 Koninklijke Philips N.V. Method for score confidence interval estimation when vital sign sampling frequency is limited
US10929774B2 (en) * 2015-02-12 2021-02-23 Koninklijke Philips N.V. Robust classifier

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060062451A1 (en) * 2001-12-08 2006-03-23 Microsoft Corporation Method for boosting the performance of machine-learning classifiers
US20040193036A1 (en) * 2003-03-12 2004-09-30 Zhou Xiang Sean System and method for performing probabilistic classification and decision support using multidimensional medical image databases
US20060120609A1 (en) * 2004-12-06 2006-06-08 Yuri Ivanov Confidence weighted classifier combination for multi-modal identification
US20060184475A1 (en) * 2005-02-16 2006-08-17 Sriram Krishnan Missing data approaches in medical decision support systems
RU2517286C2 (ru) * 2008-04-25 2014-05-27 Конинклейке Филипс Электроникс Н.В. Классификация данных выборок

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Publication number Publication date
RU2017131909A3 (https=) 2019-09-27
JP2018512086A (ja) 2018-05-10
US20180046942A1 (en) 2018-02-15
US10929774B2 (en) 2021-02-23
EP3256956A1 (en) 2017-12-20
RU2017131909A (ru) 2019-03-12
CN107249434B (zh) 2020-12-18
WO2016128866A1 (en) 2016-08-18
JP6770521B2 (ja) 2020-10-14
BR112017017079A2 (pt) 2018-04-10
CN107249434A (zh) 2017-10-13

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