Leveraging word embeddings and semantic enrichment for automatic clinical evidence grading

doi:10.1145/3194480.3194492

	Leveraging word embeddings and semantic enrichment for automatic clinical evidence grading
	Wang, Haolin 1; Qiu, Yuming2 ; Jiang, Jun 3; Zhang, Ju1 ; Yuan, Jiahu1
	2018
会议日期	March 12, 2018 - March 14, 2018
会议地点	Chengdu, China
DOI	10.1145/3194480.3194492
页码	133-137
英文摘要	Clinical practice guidelines are supported by the best available evidence from biomedical publications to assist clinical decision making. The recent technological advances in natural language processing and text mining have the potential in reducing the labor cost and time consumption of creating and updating the guidelines, and improving the quality of clinical recommendations. In order to identify high-quality biomedical publications automatically, we proposed an approach to classify unstructured biomedical text documents into predefined clinical evidence levels based on the linguistic features and semantic enrichment. We investigated the feasibility of leveraging word embeddings for clinical evidence grading that is formulated as a text classification problem, and proposed some strategies for semantic enrichment by incorporating the domain knowledge extracted from the knowledge bases and semantic networks. Moreover, we evaluated the proposed method by applying it to the clinical guidelines of breast cancer. The preliminary results demonstrated that the proposed method performed better than the widely-used baseline methods, and appropriate semantic enrichment could further. © 2018 Association for Computing Machinery.
会议录	6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018
语种	英语
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/7951]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing, China University of Chinese Academy of Sciences Beijing, China City University of Hong Kong, Hong Kong; 2.Chengdu Institute of Computer Applications, Chinese Academy of Sciences Chengdu, China University of Chinese Academy of Sciences Beijing, China Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing, China; 3.Breast and Thyroid Surgery, Southwest Hospital Chongqing, China
推荐引用方式 GB/T 7714	Wang, Haolin,Qiu, Yuming,Jiang, Jun,et al. Leveraging word embeddings and semantic enrichment for automatic clinical evidence grading[C]. 见:. Chengdu, China. March 12, 2018 - March 14, 2018.