학술논문

Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements
Document Type
article
Source
Journal of Data and Information Science, Vol 7, Iss 2, Pp 6-30 (2022)
Subject
uncertain knowledge
information entropy
natural language processing
cardiovascular diseases
china
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
Language
English
ISSN
2543-683X
Abstract
Given the information overload of scientific literature, there is an increasing need for computable biomedical knowledge buried in free text. This study aimed to develop a novel approach to extracting and measuring uncertain biomedical knowledge from scientific statements.