Learning Concept-Driven Document Embeddings for Medical Information Search [chapter]

Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Souf
2017 Lecture Notes in Computer Science  
Many medical tasks such as self-diagnosis, health-care assessment, and clinical trial patient recruitment involve the usage of information access tools. A key underlying step to achieve such tasks is the document-to-document matching which mostly fails to bridge the gap identified between raw level representations of information in documents and high-level human interpretation. In this paper, we study how to optimize the document representation by leveraging neural-based approaches to capture
more » ... tent representations built upon both validated medical concepts specified in an external resource as well as the used words. We experimentally show the effectiveness of our proposed model used as a support of two different medical search tasks, namely health search and clinical search for cohorts.
doi:10.1007/978-3-319-59758-4_17 fatcat:fhy3juoknzdrvksofijllntj6m