Special Issue on the Curative Power of Medical Data

• Published in: Data
• Main Authors: Daniela Gîfu, Diana Trandabăț, Kevin Cohen, Jingbo Xia
• Format: Article
• Language: English
• Published: MDPI AG 2019-06-01
• Subjects: biomedical research; medical text mining; health data analyzing
• Online Access: https://www.mdpi.com/2306-5729/4/2/85

With the massive amounts of medical data made available online, language technologies have proven to be indispensable in processing biomedical and molecular biology literature, health data or patient records. With huge amount of reports, evaluating their impact has long ceased to be a trivial task. Linking the contents of these documents to each other, as well as to specialized ontologies, could enable access to and the discovery of structured clinical information and could foster a major leap in natural language processing and in health research. The aim of this Special Issue, &#8220;Curative Power of Medical Data&#8221; in <i>Data</i>, is to gather innovative approaches for the exploitation of biomedical data using semantic web technologies and linked data by developing a community involvement in biomedical research. This Special Issue contains four surveys, which include a wide range of topics, from the analysis of biomedical articles writing style, to automatically generating tests from medical references, constructing a Gold standard biomedical corpus or the visualization of biomedical data.