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Goran Nenadic

Showing results (31-40 of 96) with videos related to

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BMC Bioinformatics|July 30, 2021
Mining a stroke knowledge graph from literatureXi Yang, Chengkun Wu, Goran Nenadic, et al.
Advances in Bioinformatics|February 1, 2013
Literature mining solutions for life science researchJörg Hakenberg, Goran Nenadic, Dietrich Rebholz-Schuhmann, et al.
Journal of Biomedical Informatics|January 25, 2025
Discontinuous named entities in clinical text: A systematic literature reviewAreej Alhassan, Viktor Schlegel, Monira Aloud, et al.
BMC Bioinformatics|October 21, 2018
Using set theory to reduce redundancy in pathway setsRuth Alexandra Stoney, Jean-Marc Schwartz, David L Robertson, et al.
Frontiers in Digital Health|June 16, 2025
Synthetic4Health: generating annotated synthetic clinical lettersLibo Ren, Samuel Belkadi, Lifeng Han, et al.
Plos One|December 9, 2021
Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogsPeter-John Mäntylä Noble, Charlotte Appleton, Alan David Radford, et al.
Plos One|October 8, 2011
pubmed2ensembl: a resource for mining the biological literature on genesJoachim Baran, Martin Gerner, Maximilian Haeussler, et al.
Journal of Biomedical Informatics|July 27, 2015
Combining knowledge- and data-driven methods for de-identification of clinical narrativesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Bioinformatics (Oxford, England)|August 28, 2014
Extracting patterns of database and software usage from the bioinformatics literatureGeraint Duck, Goran Nenadic, Andy Brass, et al.
Healthcare Analytics (New York, N.Y.)|January 6, 2023
Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USALamiece Hassan, Mohab Elkaref, Geeth de Mel, et al.
Pageof 10

Showing results (31-40 of 96) with videos related to

Sort By:
Pageof 10
BMC Bioinformatics|July 30, 2021
Mining a stroke knowledge graph from literatureXi Yang, Chengkun Wu, Goran Nenadic, et al.
Advances in Bioinformatics|February 1, 2013
Literature mining solutions for life science researchJörg Hakenberg, Goran Nenadic, Dietrich Rebholz-Schuhmann, et al.
Journal of Biomedical Informatics|January 25, 2025
Discontinuous named entities in clinical text: A systematic literature reviewAreej Alhassan, Viktor Schlegel, Monira Aloud, et al.
BMC Bioinformatics|October 21, 2018
Using set theory to reduce redundancy in pathway setsRuth Alexandra Stoney, Jean-Marc Schwartz, David L Robertson, et al.
Frontiers in Digital Health|June 16, 2025
Synthetic4Health: generating annotated synthetic clinical lettersLibo Ren, Samuel Belkadi, Lifeng Han, et al.
Plos One|December 9, 2021
Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogsPeter-John Mäntylä Noble, Charlotte Appleton, Alan David Radford, et al.
Plos One|October 8, 2011
pubmed2ensembl: a resource for mining the biological literature on genesJoachim Baran, Martin Gerner, Maximilian Haeussler, et al.
Journal of Biomedical Informatics|July 27, 2015
Combining knowledge- and data-driven methods for de-identification of clinical narrativesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Bioinformatics (Oxford, England)|August 28, 2014
Extracting patterns of database and software usage from the bioinformatics literatureGeraint Duck, Goran Nenadic, Andy Brass, et al.
Healthcare Analytics (New York, N.Y.)|January 6, 2023
Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USALamiece Hassan, Mohab Elkaref, Geeth de Mel, et al.
Pageof 10