Results 21 to 30 of about 208,737 (313)
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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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
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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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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
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Text Mining for Supply Chain Risk Management in the Apparel Industry
Applied Sciences, 2021 Text mining tools are now widely used for the efficient management of information and resources in business, academic and research organizations.
Sayed Mehdi Shah +2 more
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Efficient Analysis of Pattern and Association Rule Mining Approaches [PDF]
International Journal of Information Technology and Computer
Science (IJITCS), vol.6, no.3, pp.70-81, 2014, 2014 The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules. Numerous efficient algorithms have been proposed to do the above processes. Frequent pattern mining
arxiv +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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Getting started in text mining.
PLoS Computational Biology, 2008 Text mining is the use of automated methods for exploiting the enormous amount of knowledge available in the biomedical literature. There are at least as many motivations for doing text mining work as there are types of bioscientists. Model organism database curators have been heavy participants in the development of the field due to their need to ...
K Bretonnel Cohen, Lawrence Hunter
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Недвижимость: экономика, управление, 2021 Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre ...
Nikolay Sinyak +3 more
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