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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RU2017131909A3 (enExample
RU2017131909A (ru
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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 (enExample) 2019-09-27
RU2720448C2 true RU2720448C2 (ru) 2020-04-29

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RU2017131909A RU2720448C2 (ru) 2015-02-12 2016-02-05 Достоверный классификатор

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

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US10796793B2 (en) * 2017-08-09 2020-10-06 Varian Medical Systems International Ag Aggregation of 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
WO2020040253A1 (ja) * 2018-08-24 2020-02-27 株式会社Ｎｔｔドコモ 予測解釈装置、及び予測解釈方法
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
JP7708769B2 (ja) * 2020-01-10 2025-07-15 プレノシス，インコーポレイテッド ストリーミングデータ環境のための時間依存トリガ
CN115279260A (zh) * 2020-03-10 2022-11-01 皇家飞利浦有限公司 基于波形的血流动力学不稳定警告
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

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

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