Tommasi Pierpaolo, Pascale Alessandra, Deparis Stéphane, Kotoulas Spyros
IBM Research - Ireland, Dublin, Ireland.
Stud Health Technol Inform. 2018;255:30-34.
Managing multimorbidity entails processing distributed, dynamic and heterogeneous data using diverse analytics tools. We present KITE, a Cloud-based infrastructure allowing the aggregation and processing of health data using a dynamic set of analytical components. We showcase KITE in the context of the ProACT project, aiming at advancing home-based integrated care though IoT, analytics and a behavior change framework. We validate the viability of the infrastructure through an application of Bayesian networks to give a probabilistic representation of older individuals based on a variety of factors.
管理多种疾病需要使用各种分析工具来处理分布式、动态且异构的数据。我们展示了KITE，这是一种基于云的基础设施，它允许使用一组动态分析组件来聚合和处理健康数据。我们在ProACT项目的背景下展示了KITE，该项目旨在通过物联网、分析和行为改变框架推进居家综合护理。我们通过应用贝叶斯网络来验证该基础设施的可行性，以便根据各种因素给出老年人的概率表示。
