Large scale statistically validated comorbidity networks

doi:10.1140/epjds/s13688-026-00651-4

2026-04-14

Rosario N. Mantegna *

DOI：10.1140/epjds/s13688-026-00651-4

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基于芬兰西南部福祉服务县（Varha）收集的电子健康记录中存储的医疗信息，我们构建共病网络。通过数据将每位患者与一种或多种疾病关联，并建立与按年龄区间和性别特征划分的大规模患者队列相关联的复杂共病网络。电子健康记录中的疾病信息采用世界卫生组织提供的国际疾病分类（ICD代码）的最高粒度进行编码。我们对每个队列共病网络中的连接进行统计验证，并将网络划分为疾病社区。这些社区由少数疾病类别过度表达的特征定义，且不同年龄或性别队列的社区在这些疾病类别上表现出各种相似性。此外，所有队列检测到的社区可组织成层次树，使我们能观察到源自不同年龄和性别队列的多个社区集群——这些集群由相同疾病类别的社区组成。我们还对统计验证的共病网络执行拆卸程序，以突出对特定患者队列共病网络紧凑性贡献最大的疾病类别。

Keyword:

Electronic Health Records

Comorbidity

Complex networks

Statistically Validated Networks

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EPJ Data Science

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CSIC and UIB

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physics and astronomy

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University of Palermo

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