Design and Implementation of a Diagnosis and Treatment Resource Fusion and Discovery Platform Based on Knowledge Organization
10.3969/j.issn.1673-6036.2023.11.013
- VernacularTitle:基于知识组织的诊疗资源融合与发现平台设计及实现
- Author:
Panpan DENG
1
;
Junlian LI
;
Ying CHEN
;
Guanghui XIA
Author Information
1. 中国医学科学院/北京协和医学院医学信息研究所 北京 100020
- Keywords:
knowledge organization;
resource fusion;
knowledge discovery;
intelligent recommendation;
decision support
- From:
Journal of Medical Informatics
2023;44(11):71-77
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To solve the problems of limited types,insufficient depth of disclosure and low fusion correlation of diagnosis and treatment resources,so as to lay the foundation for semantic fusion and discovery of multi-source heterogeneous diagnosis and treatment resources.Method/Process The paper proposes some fusion methods,such as resource aggregation based on knowledge system,data association based on enhanced knowledge representation,content integration based on entity alignment,etc.,which a-chieves deep standardized description,semantic integration and correlation of thematic resources,literature resources and public health education resources.Result/Conclusion A diagnosis and treatment resource fusion and discovery platform has been developed to support the multi-dimensional fusion and discovery of diagnosis and treatment resources through services such as intelligent retrieval and recom-mendation,result clustering and faceted classification,semantic association,etc.
