MA47329A - Procédé et système de prédiction d'état d'épilepsie réfractaire - Google Patents
Procédé et système de prédiction d'état d'épilepsie réfractaireInfo
- Publication number
- MA47329A MA47329A MA047329A MA47329A MA47329A MA 47329 A MA47329 A MA 47329A MA 047329 A MA047329 A MA 047329A MA 47329 A MA47329 A MA 47329A MA 47329 A MA47329 A MA 47329A
- Authority
- MA
- Morocco
- Prior art keywords
- refractory epilepsy
- epilepsy conditions
- predicting
- predicting refractory
- conditions
- Prior art date
Links
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
- G16H50/20—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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- 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
- G16H50/30—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
-
- 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
- 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
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- 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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Databases & Information Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/412,806 US20180211010A1 (en) | 2017-01-23 | 2017-01-23 | Method and system for predicting refractory epilepsy status |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MA47329A true MA47329A (fr) | 2019-11-27 |
Family
ID=61656072
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MA047329A MA47329A (fr) | 2017-01-23 | 2018-01-22 | Procédé et système de prédiction d'état d'épilepsie réfractaire |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20180211010A1 (fr) |
| EP (1) | EP3571700B1 (fr) |
| MA (1) | MA47329A (fr) |
| WO (1) | WO2018134682A1 (fr) |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10468126B1 (en) | 2014-08-19 | 2019-11-05 | Multiscale Health Networks, Llc. | Clinical activity network generation |
| CN110691548B (zh) * | 2017-07-28 | 2023-05-12 | 谷歌有限责任公司 | 用于从电子健康记录中预测和总结医疗事件的系统和方法 |
| US10881463B2 (en) * | 2017-08-30 | 2021-01-05 | International Business Machines Corporation | Optimizing patient treatment recommendations using reinforcement learning combined with recurrent neural network patient state simulation |
| US11315132B2 (en) * | 2019-02-21 | 2022-04-26 | International Business Machines Corporation | Customer journey prediction and customer segmentation |
| CN110111901B (zh) * | 2019-05-16 | 2023-04-18 | 湖南大学 | 基于rnn神经网络的可迁移病人分类系统 |
| CN110610767B (zh) * | 2019-08-01 | 2023-06-02 | 平安科技（深圳）有限公司 | 发病率监测方法、装置、设备及存储介质 |
| US11676727B2 (en) * | 2019-08-14 | 2023-06-13 | Optum Technology, Inc. | Cohort-based predictive data analysis |
| US11295841B2 (en) * | 2019-08-22 | 2022-04-05 | Tempus Labs, Inc. | Unsupervised learning and prediction of lines of therapy from high-dimensional longitudinal medications data |
| US11023295B2 (en) * | 2019-10-25 | 2021-06-01 | Accenture Global Solutions Limited | Utilizing a neural network model to determine risk associated with an application programming interface of a web application |
| US20210142161A1 (en) * | 2019-11-13 | 2021-05-13 | General Electric Company | Systems and methods for model-based time series analysis |
| CN111312401B (zh) | 2020-01-14 | 2021-12-17 | 之江实验室 | 一种基于多标签学习的体检后慢性疾病预后系统 |
| US12544013B2 (en) | 2020-04-13 | 2026-02-10 | Rensselaer Polytechnic Institute | Fractional-order model predictive control for neurophysiological cyber-physical systems |
| US20210343410A1 (en) * | 2020-05-02 | 2021-11-04 | Petuum Inc. | Method to the automatic International Classification of Diseases (ICD) coding for clinical records |
| CN111709233B (zh) * | 2020-05-27 | 2023-04-18 | 西安交通大学 | 基于多注意力卷积神经网络的智能导诊方法及系统 |
| CN111696674B (zh) * | 2020-06-12 | 2023-09-08 | 电子科技大学 | 一种电子病历的深度学习方法及系统 |
| US20210401295A1 (en) * | 2020-06-29 | 2021-12-30 | Aetna Inc. | System and methods utilizing artificial intelligence algorithms to analyze wearable activity tracker data |
| CN112259243B (zh) * | 2020-09-20 | 2024-01-02 | 南昌大学第二附属医院 | 一种基于双向GRUs的单病种临床路径构建方法及系统 |
| CN112017776B (zh) * | 2020-10-27 | 2021-01-15 | 平安科技（深圳）有限公司 | 基于动态图和医学知识图谱的疾病预测方法及相关设备 |
| US20220208373A1 (en) * | 2020-12-31 | 2022-06-30 | International Business Machines Corporation | Inquiry recommendation for medical diagnosis |
| US20230317279A1 (en) * | 2022-03-31 | 2023-10-05 | Quantiphi Inc | Method and system for medical diagnosis using graph embeddings |
| US20240105292A1 (en) * | 2022-07-05 | 2024-03-28 | MediSyn, Inc. | Platform for synthesizing high-dimensional longitudinal electronic health records using a deep learning language model |
| US12243629B2 (en) | 2022-09-30 | 2025-03-04 | Cilag Gmbh International | Capacity to adjust patient consent |
| US12499266B2 (en) | 2022-09-30 | 2025-12-16 | Cilag Gmbh International | Patient data removal |
| US20240120041A1 (en) * | 2022-09-30 | 2024-04-11 | Cilag Gmbh International | Conditional patient consent |
| CN116825382A (zh) * | 2023-02-23 | 2023-09-29 | 深圳市儿童医院 | 一种基于多模态融合的癫痫药物有效性检测方法及装置 |
| CN116524995A (zh) * | 2023-03-24 | 2023-08-01 | 平安科技（深圳）有限公司 | 基于人工智能的药物疗效预测方法及相关设备 |
| CN119007817A (zh) * | 2024-07-15 | 2024-11-22 | 湖南大学 | 癫痫基因功能类别预测方法、终端设备及存储介质 |
| CN119851919B (zh) * | 2025-01-02 | 2025-12-09 | 清华大学 | 基于大模型的drg入组推荐方法、装置、设备和介质 |
| CN120319483B (zh) * | 2025-06-10 | 2025-11-21 | 中国科学院自动化研究所 | 基于扩散模型的癫痫发作预测方法、装置及计算机设备 |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8725243B2 (en) * | 2005-12-28 | 2014-05-13 | Cyberonics, Inc. | Methods and systems for recommending an appropriate pharmacological treatment to a patient for managing epilepsy and other neurological disorders |
| WO2017083627A1 (fr) * | 2015-11-13 | 2017-05-18 | Visterra, Inc. | Compositions et méthodes pour traiter et prévenir la grippe |
-
2017
- 2017-01-23 US US15/412,806 patent/US20180211010A1/en active Pending
-
2018
- 2018-01-22 WO PCT/IB2018/000089 patent/WO2018134682A1/fr not_active Ceased
- 2018-01-22 MA MA047329A patent/MA47329A/fr unknown
- 2018-01-22 EP EP18711395.6A patent/EP3571700B1/fr active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3571700B1 (fr) | 2023-08-02 |
| WO2018134682A1 (fr) | 2018-07-26 |
| EP3571700A1 (fr) | 2019-11-27 |
| US20180211010A1 (en) | 2018-07-26 |
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