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Mining temporal medical data using adaptive fuzzy cognitive maps

机译:使用自适应模糊认知图挖掘时态医学数据

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In this paper, we present our research on mining temporal medical data. In particular, we investigate the possibility of applying fuzzy cognitive maps (FCMs) to discover temporal dependencies between medical concepts. We consider two types of simple concepts, i.e., medical interventions (such as prescribing drugs) and health effects expressed by changes of patients' conditions. The long-term goal of the research is the application of the discovered FCM to medical decision support and planning the therapy of patients. Finally, we present the results of experiments performed on temporal diabetes data.
机译:在本文中,我们提出了对时态医学数据挖掘的研究。特别是,我们调查了应用模糊认知图(FCM)来发现医学概念之间的时间依赖性的可能性。我们考虑两种简单的概念,即医疗干预措施(例如开药)和患者病情变化对健康的影响。研究的长期目标是将发现的FCM应用于医疗决策支持和计划患者的治疗。最后,我们介绍了对时态糖尿病数据进行实验的结果。

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