标题： 精确疾病网络（PDN） 显示英文标题

标题： Precision disease networks (PDN)

摘要： 本文提出了一种构建基于患者的网络的方法，我们称之为精准疾病网络，并探讨了其在预测医疗结果方面的应用。我们的方法包括为每个患者或病例构建一个网络，描述患者的疾病演变（PDN），并将这些网络作为特征集存储在一个PDN的数据集中，每条观察记录对应一个网络。我们对PDN数据进行聚类，并研究集群内的和集群间的变异性。此外，我们开发了数据可视化技术，以便展示、比较和总结网络数据。最后，我们分析了来自新泽西州 statewide 数据库MIDAS（心肌梗死数据采集系统）的心脏病患者数据集，以证明与标准统计分析相比，网络数据能够更好地预测重要的患者结果，如死亡或心血管死亡。 显示英文摘要

摘要： This paper presents a method for building patient-based networks that we call Precision disease networks, and its uses for predicting medical outcomes. Our methodology consists of building networks, one for each patient or case, that describes the dis-ease evolution of the patient (PDN) and store the networks as a set of features in a data set of PDN's, one per observation. We cluster the PDN data and study the within and between cluster variability. In addition, we develop data visualization technics in order to display, compare and summarize the network data. Finally, we analyze a dataset of heart diseases patients from a New Jersey statewide data-base MIDAS (Myocardial Infarction Data Acquisition System, in order to show that the network data improve on the prediction of important patient outcomes such as death or cardiovascular death, when compared with the standard statistical analysis.