Literature mining
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Lecture Business research methods (12/e) - Chapter 5: Clarifying the research question through secondary data and exploration. After studying this chapter you will be able to understand: The process of using exploratory research to understand the management dilemma and work through the stages of analysis necessary to formulate the research question (and, ultimately, investigative questions and measurement questions); what is involved in internal data mining and how internal data-mining techniques differ from literature searches.
38p haojiubujain04 27-07-2023 9 6 Download
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Globally, 36% of deaths among children can be attributed to environmental factors. However, no comprehensive list of environmental exposures exists. We seek to address this gap by developing a literaturemining algorithm to catalog prenatal environmental exposures.
12p visteverogers 24-06-2023 3 1 Download
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The most used search engine for scientific literature, PubMed, provides tools to filter results by several fields. When searching for reports on clinical trials, sample size can be among the most important factors to consider.
6p visteverogers 24-06-2023 7 2 Download
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The purpose of this project is to enable the prediction of flow behaviour of concentrated slurries in the pipe loop under various laminar flow conditions using the fluid analogue to slurry and to find the suitable rheological model from the literature for the fluid analogue and tailings from the Sunrise dam. The major objective of the project is to develop a fluid analogue which will have similar rheological behaviour to that of the tailings from Sunrise dam so that it can be used as a test material to predict the flow behaviour of tailings in a pipe.
114p runthenight07 01-03-2023 5 2 Download
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Despite titanium (Ti) and zirconium (Zr) minerals being critical, often irreplaceable, and generally unrecyclable components of modern materials, there is very little understanding on the constraints affecting their availability within the public literature. And while co/by-products such as hafnium (Hf), vanadium (V), garnet, and rare earth elements (REE) add significant value to the extraction of these minerals, they suffer from the same level of recyclability and understanding as Ti and Zr minerals.
155p runordie3 06-07-2022 7 1 Download
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The aim of the current study was to apply text mining and topic modelling analysis on scientific literature regarding suicide, burnout, and depression among veterinary practitioners and students to extract meaningful and synthetic information.
10p vidarwin 23-02-2022 9 1 Download
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Information on protein-protein interactions affected by mutations is very useful for understanding the biological effect of mutations and for developing treatments targeting the interactions. In this study, we developed a natural language processing (NLP) based machine learning approach for extracting such information from literature.
10p vijeeni2711 30-06-2021 8 1 Download
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Scientific literature carries a wealth of information crucial for research, but only a fraction of it is present as structured information in databases and therefore can be analyzed using traditional data analysis tools.
14p vijichea2711 28-05-2021 6 1 Download
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A review of the literature shows that AI techniques have been successfully applied in predicting PPV in open - pit mines. Nonetheless, they have not been applied anywhere. In this study, the k - nearest neighbors (KNN) algorithm was investigated and applied to predict PPV at the Deo Nai open - pit coal mines (Vietnam).
8p cothumenhmong9 12-01-2021 14 2 Download
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Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to automatically summarize graphs of semantic predications produced from PubMed citations (titles and abstracts).
15p viwyoming2711 16-12-2020 11 0 Download
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Biology-focused databases and software define bioinformatics and their use is central to computational biology. In such a complex and dynamic field, it is of interest to understand what resources are available, which are used, how much they are used, and for what they are used.
13p viwyoming2711 16-12-2020 7 0 Download
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In order to access the large amount of information in biomedical literature about genes implicated in various cancers both efficiently and accurately, the aid of text mining (TM) systems is invaluable.
17p viwyoming2711 16-12-2020 11 1 Download
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The scientific literature contains millions of microbial gene identifiers within the full text and tables, but these annotations rarely get incorporated into public sequence databases. We propose to utilize the Open Access (OA) subset of PubMed Central (PMC) as a gene annotation database and have developed an R package called pmcXML to automatically mine and extract locus tags from full text, tables and supplements.
8p vikentucky2711 26-11-2020 15 0 Download
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Text mining is increasingly used in the biomedical domain because of its ability to automatically gather information from large amount of scientific articles. One important task in biomedical text mining is relation extraction, which aims to identify designated relations among biological entities reported in literature.
18p vikentucky2711 26-11-2020 5 1 Download
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Prioritizing genetic variants is a challenge because disease susceptibility loci are often located in genes of unknown function or the relationship with the corresponding phenotype is unclear. A global data-mining exercise on the biomedical literature can establish the phenotypic profile of genes with respect to their connection to disease phenotypes.
13p vikentucky2711 26-11-2020 10 1 Download
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In this paper, we propose COMMODAR, a machine learning-based literature mining framework for context-specific molecular relations using multimodal representations.
8p vikentucky2711 24-11-2020 10 1 Download
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Relation extraction is a fundamental technology in biomedical text mining. Most of the previous studies on relation extraction from biomedical literature have focused on specific or predefined types of relations, which inherently limits the types of the extracted relations.
11p vikentucky2711 24-11-2020 10 1 Download
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Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. While such methods mostly try to extract bioentity associations from PubMed, very few of them are dedicated in mining other types of repositories such as chemical databases.
9p vioklahoma2711 19-11-2020 16 3 Download
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Finding highly relevant articles from biomedical databases is challenging not only because it is often difficult to accurately express a user’s underlying intention through keywords but also because a keyword-based query normally returns a long list of hits with many citations being unwanted by the user. This paper proposes a novel biomedical literature search system, called BiomedSearch, which supports complex queries and relevance feedback.
12p vioklahoma2711 19-11-2020 14 1 Download
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Functional annotation of genes and gene products is a major challenge in the post-genomic era. Nowadays, gene function curation is largely based on manual assignment of Gene Ontology (GO) annotations to genes by using published literature.
13p vioklahoma2711 19-11-2020 9 1 Download