JP2019504404A - 挙動学習臨床支援 - Google Patents
挙動学習臨床支援 Download PDFInfo
- Publication number
- JP2019504404A JP2019504404A JP2018532070A JP2018532070A JP2019504404A JP 2019504404 A JP2019504404 A JP 2019504404A JP 2018532070 A JP2018532070 A JP 2018532070A JP 2018532070 A JP2018532070 A JP 2018532070A JP 2019504404 A JP2019504404 A JP 2019504404A
- Authority
- JP
- Japan
- Prior art keywords
- patient
- readable medium
- computer
- record
- behavior
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- 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
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Pathology (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Physics (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Operations Research (AREA)
- Computing Systems (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562270152P | 2015-12-21 | 2015-12-21 | |
| US62/270,152 | 2015-12-21 | ||
| PCT/IB2016/057802 WO2017109683A1 (en) | 2015-12-21 | 2016-12-20 | Behavior trained clinical support |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2019504404A true JP2019504404A (ja) | 2019-02-14 |
| JP2019504404A5 JP2019504404A5 (https=) | 2019-11-14 |
Family
ID=57799745
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2018532070A Pending JP2019504404A (ja) | 2015-12-21 | 2016-12-20 | 挙動学習臨床支援 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20180366211A1 (https=) |
| EP (1) | EP3394775A1 (https=) |
| JP (1) | JP2019504404A (https=) |
| CN (1) | CN108431900A (https=) |
| WO (1) | WO2017109683A1 (https=) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230033160A1 (en) * | 2020-01-06 | 2023-02-02 | Healthpointe Solutions, Inc. | Generating a registry of people using a criteria and performing an action for the registry of people |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012509707A (ja) * | 2008-11-25 | 2012-04-26 | リン, ローレンス エー. | 患者安全プロセッサ |
| WO2015092679A1 (en) * | 2013-12-20 | 2015-06-25 | Koninklijke Philips N.V. | Medical intervention data display for patient monitoring systems |
| JP2016522005A (ja) * | 2013-03-27 | 2016-07-28 | ゾール メディカル コーポレイションZOLL Medical Corporation | 臨床決定支援における筋酸素飽和およびpHの利用 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8172576B2 (en) * | 2004-07-26 | 2012-05-08 | Koninklijke Philips Electronics N.V. | Decision support system for simulating execution of an executable clinical guideline |
| US20070055552A1 (en) * | 2005-07-27 | 2007-03-08 | St Clair David | System and method for health care data integration and management |
| JP5238507B2 (ja) * | 2005-10-31 | 2013-07-17 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | 臨床ワークフロー管理及び意思決定システム及び方法 |
| EP2613278A2 (en) * | 2011-12-05 | 2013-07-10 | Koninklijke Philips Electronics N.V. | Retroactive extraction of clinically relevant information from patient sequencing data for clinical decision support |
| CN104040547B (zh) * | 2011-12-21 | 2018-10-12 | 皇家飞利浦有限公司 | 用于预测生理和临床状态改变的方法和系统 |
| WO2014071145A1 (en) * | 2012-11-02 | 2014-05-08 | The University Of Chicago | Patient risk evaluation |
| WO2014111933A1 (en) * | 2013-01-16 | 2014-07-24 | Medaware Ltd. | Medical database and system |
| WO2014205139A1 (en) * | 2013-06-20 | 2014-12-24 | University Of Virginia Patent Foundation | Multidimensional time series entrainment system, method and computer readable medium |
| US10347373B2 (en) * | 2014-09-14 | 2019-07-09 | Voalte, Inc. | Intelligent integration, analysis, and presentation of notifications in mobile health systems |
| US11069430B2 (en) * | 2015-07-02 | 2021-07-20 | ZYUS Life Sciences US Ltd. | Patient state representation architectures and uses thereof |
-
2016
- 2016-12-20 CN CN201680075342.7A patent/CN108431900A/zh active Pending
- 2016-12-20 US US16/061,372 patent/US20180366211A1/en not_active Abandoned
- 2016-12-20 WO PCT/IB2016/057802 patent/WO2017109683A1/en not_active Ceased
- 2016-12-20 JP JP2018532070A patent/JP2019504404A/ja active Pending
- 2016-12-20 EP EP16826459.6A patent/EP3394775A1/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012509707A (ja) * | 2008-11-25 | 2012-04-26 | リン, ローレンス エー. | 患者安全プロセッサ |
| JP2016522005A (ja) * | 2013-03-27 | 2016-07-28 | ゾール メディカル コーポレイションZOLL Medical Corporation | 臨床決定支援における筋酸素飽和およびpHの利用 |
| WO2015092679A1 (en) * | 2013-12-20 | 2015-06-25 | Koninklijke Philips N.V. | Medical intervention data display for patient monitoring systems |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017109683A1 (en) | 2017-06-29 |
| US20180366211A1 (en) | 2018-12-20 |
| EP3394775A1 (en) | 2018-10-31 |
| CN108431900A (zh) | 2018-08-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11751821B2 (en) | Systems and methods of advanced warning for clinical deterioration in patients | |
| US11309079B2 (en) | System and method for a patient dashboard | |
| KR102531993B1 (ko) | 이미지 분석 모델을 통한 생체 정보 이미지 분석 방법과 이를 이용한 쇼크 발생 예측 방법 | |
| DE112014000897T5 (de) | Lernende Gesundheitssysteme und -verfahren | |
| Rosero et al. | Failure to rescue: a quality indicator for postoperative care | |
| US12555656B2 (en) | Methods and systems for analyzing accessing of medical data | |
| Rossetti et al. | Leveraging clinical expertise as a feature-not an outcome-of predictive models: evaluation of an early warning system use case | |
| Faisal et al. | A machine learning approach for analyzing and predicting suicidal thoughts and behaviors | |
| Galvez-Barron et al. | Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease | |
| US12283379B2 (en) | Automatic early prediction of neurodegenerative diseases | |
| Fernstad et al. | External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study | |
| Khatter et al. | Machine learning-based automated medical diagnosis for healthcare | |
| Rao et al. | AI-enabled clinical decision support system | |
| JP2019504404A (ja) | 挙動学習臨床支援 | |
| Lin et al. | A pretrain-finetune approach for improving model generalizability in outcome prediction of acute respiratory distress syndrome patients | |
| Shirkande et al. | An Explainable Deep Learning Model for Clinical Decision Support in Healthcare | |
| JP7420753B2 (ja) | 臨床アセスメントへのコンテキストデータの組み込み | |
| Santhosh et al. | Quantitative EEG-Based Deep Learning for Neonatal Seizure Detection using Conv-LSTM | |
| Spahić et al. | Trustworthiness of Four-Dimensional Ultrasound and Artificial Intelligence in Improving KANET Test for Detection of Fetuses at Neurorisk | |
| Ang et al. | Healthcare data handling with machine learning systems: a framework | |
| Allirani et al. | Thick Data Analytics in Healthcare: Integrating Qualitative Insights with Machine Learning | |
| Ahmed et al. | Early warning model for patient deterioration: a machine learning approach for nurse-led monitoring | |
| Mohanapriya et al. | Impact of digital technologies in health care sector with reference to AI-Powered applications | |
| Priyanka et al. | Detection Strategies and Analytical Insights Into Autism Spectrum Disorder | |
| Delvinioti et al. | A Real-Time COPD Exacerbation Detection Algorithm Using multi-morbid symptom diaries: Insights from a Multi-Site Study |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20191004 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20191004 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20200313 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20200402 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20200625 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20201124 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20201217 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20210520 |