Results 21 to 30 of about 726,143 (311)
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
BMC Medical Informatics and Decision Making, 2019 Background Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Yifei Wang +2 more
doaj +1 more source
Adaptive text mining: Inferring structure from sequences [PDF]
, 2004 Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
core +2 more sources
Improving reference prioritisation with PICO recognition
BMC Medical Informatics and Decision Making, 2019 Background Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which include ...
Austin J. Brockmeier +3 more
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Annotation and detection of drug effects in text for pharmacovigilance
Journal of Cheminformatics, 2018 Pharmacovigilance (PV) databases record the benefits and risks of different drugs, as a means to ensure their safe and effective use. Creating and maintaining such resources can be complex, since a particular medication may have divergent effects in ...
Paul Thompson +5 more
doaj +1 more source
Large-scale event extraction from literature with multi-level gene normalization [PDF]
, 2013 Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts.
Ananiadou, Sophia +10 more
core +3 more sources
Text Mining in Biomedical Domain with Emphasis on Document Clustering [PDF]
Healthcare Informatics Research, 2017 ObjectivesWith the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published.
Vinaitheerthan Renganathan
doaj +1 more source
A Semantic Graph-Based Approach for Mining Common Topics From Multiple Asynchronous Text Streams [PDF]
, 2017 In the age of Web 2.0, a substantial amount of unstructured content are distributed through multiple text streams in an asynchronous fashion, which makes it increasingly difficult to glean and distill useful information.
Guo Weiwei +6 more
core +1 more source
Wellcome Open Research, 2017 The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers.
Aravind Venkatesan +9 more
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Comprehensive review of text-mining applications in finance
Financial Innovation, 2020 Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance.
Aaryan Gupta +3 more
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ACR Open Rheumatology, 2021 Objective Electronic health records (EHR) are increasingly being recognized as a major source of data reusable for medical research and quality monitoring, although patient identification and assessment of symptoms (characterization) remain challenging ...
Tammo E. Brunekreef +6 more
doaj +1 more source