醫療診斷患病資料集

資料集介紹

該資料集是rdf資料集，關於理療的，裡面有診斷，有用藥等，線上展示僅僅展示了其中一部分資料，下載nt格式的資料，可以獲取完整的資料集。

利用這些資料集，你可以進行sparql查詢，進行實體關係識別，進行醫療資料探勘，等等。

資料集下載

伺服器頻寬有限，推薦去 Datahub 下載

效果展示

當你想要查詢出一個實體時候，直接點選即可檢視該實體有哪些東西。例如：

當我們點選其中某一條資料的時候，可以看到現在的系統展示的東西

英文介紹

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.

釋出協議