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BINET - Analisi di dati sanitari mediante SNA Validit? degli indicatori statistici ottenuti rispetto a metodologie tradizionali

机译:BINET-使用SNA Validit分析健康数据吗?有关传统方法的统计指标

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摘要

Social Network technology in the healthcare field aims to establish a non-conventional graph analysis methodology. BINET project (Business Intelligence framework based on Social Network technology) has developed an application framework to test SN methodologies on health data. Scientific validation of the methodology focuses on analyzing therapeutic, time and spatial associations among treatments, e.g. drug prescriptions and diagnosis made during hospitalization, to find correlations between treatments of individuals and patient outcome. In this report, following the testing of the BINET application framework, we compare the validity and accuracy of network statistical indicators with those obtained through traditional methods.
机译:医疗保健领域的社交网络技术旨在建立一种非常规的图形分析方法。 BINET项目(基于社交网络技术的商业智能框架)已经开发了一个应用程序框架,用于测试有关健康数据的SN方法。该方法的科学验证重点在于分析治疗之间的治疗,时间和空间关联,例如在住院期间进行药物处方和诊断,以发现个体治疗与患者预后之间的相关性。在本报告中,在对BINET应用程序框架进行测试之后,我们将网络统计指标的有效性和准确性与通过传统方法获得的指标进行了比较。

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