Knowledge Management for Biomedical Literature: The Function of Text-Mining Technologies in Life-Science Research [PDF]
, 2008 Efficient information retrieval and extraction is a major challenge in life-science research. The Knowledge Management (KM) for biomedical literature aims to establish an environment, utilizing information technologies, to facilitate better acquisition ...
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Identification of research hypotheses and new knowledge from scientific literature
BMC Medical Informatics and Decision Making, 2018 Background Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative information, known as Meta-Knowledge ...
Matthew Shardlow +5 more
doaj +1 more source
Vickybot, a chatbot for anxiety-depressive symptoms and work-related burnout
European Psychiatry, 2023 Introduction A significant proportion of people attending Primary Care (PC) have anxiety-depressive symptoms and work-related burnout and there is a lack of resources to attend them.
G. Anmella +17 more
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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.
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Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva +9 more
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A text-mining system for extracting metabolic reactions from full-text articles [PDF]
, 2012 Background: Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway—metabolic pathways—
Czarnecki, Jan M. +12 more
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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
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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
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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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fccoelho/text-mining-cientistas-sociais: Primeira edição
, 2023 Material do curso de text mining para cientistas sociais do ...
Flávio Codeço Coelho
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