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Addressing Risk Assessment for Patient Safety in Hospitals through Information Extraction in Medical Reports

机译:通过医疗报告中的信息提取解决医院患者安全的风险评估

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摘要

Hospital Acquired Infections (HAI) is a real burden for doctors and risk surveillance experts. The impact on patients' health and related healthcare cost is very significant and a major concern even for rich countries. Furthermore required data to evaluate the threat is generally not available to experts and that prevents from fast reaction. However, recent advances in Computational Intelligence Techniques such as Information Extraction, Risk Patterns Detection in documents and Decision Support Systems allow now to address this problem.
机译:对于医生和风险监测专家而言,医院获得性感染(HAI)是真正的负担。对患者健康和相关医疗费用的影响是非常重大的,即使对于富裕国家来说也是一个主要问题。此外,专家通常无法获得评估威胁所需的数据,从而无法快速做出反应。但是,计算智能技术的最新进展(例如信息提取,文档中的风险模式检测和决策支持系统)现在可以解决此问题。

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