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Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database

机译：在基于人口的电子健康记录数据库中开发用于缺血性中风风险评估的智能决策支持系统

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BackgroundIntelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The application of DNNs to large-scale data for estimating stroke risk needs to be assessed and validated. This study aims to apply a DNN for deriving a stroke predictive model using a big electronic health record database.

机译：背景技术智能决策支持系统（IDSS）已应用于疾病管理任务。深度神经网络（DNN）是实现高建模能力的人工智能技术。 DNN在大规模数据中估计中风风险的应用需要评估和验证。这项研究旨在将DNN应用到使用大型电子健康记录数据库得出中风预测模型的过程中。

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Chen-Ying Hung; Ching-Heng Lin; Tsuo-Hung Lan; Giia-Sheun Peng; Chi-Chun Lee;
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年(卷),期 -1(14),3
年度 -1
页码 e0213007
总页数 16
原文格式 PDF
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1. Acomputerised decision support system for cardiovascular risk management live in the electronic health record environment: development, validation and implementation the Utrecht Cardiovascular Cohort Initiative [J] . T. K. J. Groenhof, Z. H. Rittersma, M. L. Bots, Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation . 2019,第9期

机译：ACOMPUTERATED决策支持系统用于心血管风险管理，生活在电子健康记录环境中：开发，验证和实施乌得勒支的心血管队列主动
2. Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development [J] . McCoy Allison B., Wright Adam, Sittig Dean F. Journal of the American Medical Informatics Association : . 2015,第5期

机译：对主要用户定义的临床决策支持功能的跨供应商评估：基于场景的认证电子健康记录评估，以及未来发展的指南
3. Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems. [J] . Wright A, Sittig DF, Ash JS, Journal of the American Medical Informatics Association : . 2011,第3期

机译：全面的临床决策支持分类法的开发和评估：商业和内部开发的电子健康记录系统中前端工具的比较。
4. An Empirical Examination of the Factors Influencing the Intention to Use Health Information System with Decision Support for Stroke Risk Assessment and Prediction [C] . Jovel T. Rosado, Alexander A. Hernandez International Colloquium on Signal Processing Its Applications . 2020

机译：有决策支持的中风风险评估和预测决策支持对使用健康信息系统意图的影响因素的实证检验
5. Benefits and risks of Electronic Medical Record (EMR): An interpretive analysis of healthcare consumers' perceptions of an evolving health information systems technology. [D] . Thompson, Chester D. 2013

机译：电子病历（EMR）的收益和风险：对医疗保健消费者对不断发展的健康信息系统技术的看法的解释性分析。
6. A computerised decision support system for cardiovascular risk management ‘live’ in the electronic health record environment: development validation and implementation—the Utrecht Cardiovascular Cohort Initiative [O] . T. K. J. Groenhof, Z. H. Rittersma, M. L. Bots, 2019

机译：在电子病历环境中实时进行心血管风险管理的计算机决策支持系统：开发验证和实施-乌得勒支心血管病研究计划
7. An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support [O] . Sofian Berrouiguet, Romain Billot, Mark Erik Larsen, 2019

机译：自杀风险管理电子健康记录数据的数据挖掘方法：临床决策支持的数据库分析
8. Extracranial-Intracranial Bypass to Reduce the Risk of Ischemic Stroke. Number 6.Health Technology Assessment Reports, 1990 [R] . Holohan, T. V. 1991

机译：颅内 - 颅内旁路以降低缺血性卒中的风险。第6号。健康技术评估报告，1990年

Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database

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