医疗诊断患病数据集

如果喜欢可以给个小星星。Github 传送门： https://github.com/xjtushilei/pdd_data_set

数据集介绍

该数据集是 rdf 数据集，关于理疗的，里面有诊断，有用药等，在线展示仅仅展示了其中一部分数据，下载nt格式的数据，可以获取完整的数据集。

利用这些数据集，你可以进行 sparql 查询，进行实体关系识别，进行医疗数据挖掘，等等。

数据集下载

Home page to konw how to download

服务器带宽有限，推荐去 Datahub 下载

效果展示

当你想要查询出一个实体时候，直接点击即可查看该实体有哪些东西。例如：

在我们发布的Patient-Disease-Drug 数据集里，可以在线查询，可以看到数据如下：

当我们点击其中某一条数据的时候，可以看到现在的系统展示的东西

http://kmap.xjtudlc.com/pdd_data/resource/145834

英文介绍

What is PDD Graph (Patient-Disease-Drug Graph):

Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge. Facing with patients symptoms, experienced caregivers make right medical decisions based on their professional knowledge that accurately grasps relationships between symptoms, diagnosis, and treatments. We aim to capture these relationships by constructing a large and high-quality heterogeneous graph linking patients, diseases, and drugs (PDD) in EMRs.

Specifically, we extract important medical entities from MIMIC-III (Medical Information Mart for Intensive Care III) and automatically link them with the existing biomedical knowledge graphs, including ICD-9 ontology and DrugBank. The PDD graph presented is accessible on the Web via the SPARQL endpoint, and provides a pathway for medical discovery and applications, such as effective treatment recommendations.

A subgraph of PDD is illustrated in the followng figure to betterunderstand the PDD graph.