Abstract
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, “Curative Power of Medical Data” in Data, 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.
Highlights
The interest in biomedical data, along with the continuous development of various qualitative and quantitative text analyses tools, made language technologies a natural choice for analyzing the evolution of the scientific life.Biomedical Text Mining (BTM), known as Health Informatics (HI), is a discipline situated at the intersection of computer science, medicine care, information systems and linguistics
The aim of the Special Issue “Curative Power of Medical Data” of the Data Journal was to develop a community of researchers involved in biomedical research
This Special Issue contains four surveys, which include a wide range of topics, from author confidence in biomedical articles [18]; generating tests from medical references [19]; constructing a Gold standard biomedical corpus for the Romanian language [20]; up to the visualization of biomedical data among the Chinese elderly [21]
Summary
The interest in biomedical data, along with the continuous development of various qualitative and quantitative text analyses tools, made language technologies a natural choice for analyzing the evolution of the scientific life. A. Data 2019, 4, 85 suitable forum for this was the MEDA Workshop on the Curative Power of Medical Data , the starting point for this Special Issue, aimed at consolidating an internationally appreciated forum for scientific research in biomedical text mining, with an emphasis on crowdsourcing, the semantic web, knowledge integration and data linking. Data 2019, 4, 85 suitable forum for this was the MEDA Workshop on the Curative Power of Medical Data , the starting point for this Special Issue, aimed at consolidating an internationally appreciated forum for scientific research in biomedical text mining, with an emphasis on crowdsourcing, the semantic web, knowledge integration and data linking The purpose of this guest editorial is to address the article contributions in this Special Issue [4] in order to use them as a basis in this area of science, whilst encouraging communication among the various disciplines by identifying and grouping together complementary research solutions
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