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首页> 外文会议>International Conference on Information Fusion;FUSION 2012 >Cardiovascular event risk assessment — Fusion of individual risk assessment tools applied to the Portuguese population
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Cardiovascular event risk assessment — Fusion of individual risk assessment tools applied to the Portuguese population

机译：心血管事件风险评估—融合了适用于葡萄牙人口的个体风险评估工具

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Cardiovascular disease (CVD) is the world''s largest killer, responsible for 17.1 million deaths per year. Thus, the improvement of the prognosis of this disease is an important factor to defeat the current statistics. Although there are several risk tools available to assess the risk of occurrence of a cardiovascular event within a given period of time, these tools present some major drawbacks. In particular, each individual tool considers a reduced number of risk factors, does not permit to incorporate additional clinical knowledge and presents difficulties in coping with missing risk factors. In order to overcome the identified weaknesses, a flexible framework is proposed here, based on the fusion of a set of distinct risk assessment tools. The methodology is based on two main hypotheses: i) it is possible to derive a common representation for the individual risk assessment tools, ii) it is possible to combine (fusion) the obtained individual models, in order to achieve the referred goals. Additionally, through the implementation of optimization techniques, an increasing in the global risk prediction performance is also investigated. The validation of the strategy is carried out through the combination of three current risk assessment tools (GRACE, TIMI, PURSUIT) developed to predict the risk of an event in coronary artery disease (CAD) patients. The combination of these tools is validated with two real patients testing datasets: i) Santa Cruz Hospital, Lisbon/Portugal, N=460 ACS-NSTEMI1 patients; ii) Santo André Hospital, Leiria/Portugal, N=99 ACS-NSTEMI patients. Considering the obtained results with the available datasets it is possible to state that the initial goals of this work were achieved. This evidence makes this work a valid contribution for the improvement of the risk assessment applied to cardiovascular diseases.
机译：心血管疾病（CVD）是世界上最大的杀手，每年造成1,710万人死亡。因此，改善该疾病的预后是破坏当前统计数据的重要因素。尽管有多种风险工具可用于评估在给定时间内发生心血管事件的风险，但这些工具存在一些主要缺点。特别是，每个单独的工具都考虑到减少的风险因素，不允许合并其他临床知识，并且在应对缺失的风险因素方面存在困难。为了克服已发现的弱点，这里提出了一个灵活的框架，该框架基于一组独特的风险评估工具的融合。该方法基于两个主要假设：i）可以得出单个风险评估工具的通用表示形式； ii）可以合并（融合）获得的单个模型，以实现所提到的目标。此外，通过实施优化技术，还研究了全球风险预测性能的提高。该策略的验证是通过结合三种当前的风险评估工具（GRACE，TIMI，PURSUIT）进行的，该工具旨在预测冠心病（CAD）患者发生事件的风险。通过两个真实的患者测试数据集验证了这些工具的组合：i）里斯本/葡萄牙圣克鲁斯医院，N = 460 ACS-NSTEMI 1 患者； ii）莱里亚/葡萄牙的SantoAndré医院，N = 99名ACS-NSTEMI患者。考虑到可用数据集获得的结果，可以说明已经完成了这项工作的最初目标。这些证据使这项工作为改善适用于心血管疾病的风险评估做出了有效贡献。

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