| Year |
Citation |
Score |
| 2020 |
Alfattni G, Peek N, Nenadic G. Extraction of Temporal Relations from Clinical Free Text: A Systematic Review of Current Approaches. Journal of Biomedical Informatics. 103488. PMID 32673788 DOI: 10.1016/J.Jbi.2020.103488 |
0.361 |
|
| 2020 |
Sanders C, Nahar P, Small N, Hodgson D, Ong BN, Dehghan A, Sharp CA, Dixon WG, Lewis S, Kontopantelis E, Daker-White G, Bower P, Davies L, Kayesh H, Spencer R, ... ... Nenadic G, et al. Digital methods to enhance the usefulness of patient experience data in services for long-term conditions: the DEPEND mixed-methods study Health Services and Delivery Research. 8: 1-128. PMID 32628374 DOI: 10.3310/Hsdr08280 |
0.364 |
|
| 2020 |
Jones KH, Ford EM, Lea N, Griffiths LJ, Hassan L, Heys S, Squires E, Nenadic G. Toward the Development of Data Governance Standards for Using Clinical Free-Text Data in Health Research: Position Paper. Journal of Medical Internet Research. 22: e16760. PMID 32597785 DOI: 10.2196/16760 |
0.381 |
|
| 2020 |
Ford E, Oswald M, Hassan L, Bozentko K, Nenadic G, Cassell J. Should free-text data in electronic medical records be shared for research? A citizens' jury study in the UK. Journal of Medical Ethics. 46: 367-377. PMID 32457202 DOI: 10.1136/Medethics-2019-105472 |
0.351 |
|
| 2020 |
Spasic I, Nenadic G. Clinical Text Data in Machine Learning: Systematic Review. Jmir Medical Informatics. 8: e17984. PMID 32229465 DOI: 10.2196/17984 |
0.361 |
|
| 2020 |
Vivekanantham A, Belousov M, Hassan L, Nenadic G, Dixon WG. Patient discussions of glucocorticoid-related side effects within an online health community forum. Annals of the Rheumatic Diseases. PMID 32213492 DOI: 10.1136/Annrheumdis-2019-216791 |
0.345 |
|
| 2020 |
Stetco A, Ramirez JM, Mohammed A, Djurović S, Nenadic G, Keane J. An End-to-End: Real-Time Solution for Condition Monitoring of Wind Turbine Generators Energies. 13: 4817. DOI: 10.3390/En13184817 |
0.32 |
|
| 2020 |
Tattershall E, Nenadic G, Stevens RD. Detecting bursty terms in computer science research Scientometrics. 122: 681-699. DOI: 10.1007/S11192-019-03307-5 |
0.333 |
|
| 2019 |
Arguello-Casteleiro M, Stevens R, Des-Diz J, Wroe C, Fernandez-Prieto MJ, Maroto N, Maseda-Fernandez D, Demetriou G, Peters S, Noble PM, Jones PH, Dukes-McEwan J, Radford AD, Keane J, Nenadic G. Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. Journal of Biomedical Semantics. 10: 22. PMID 31711540 DOI: 10.1186/S13326-019-0212-6 |
0.403 |
|
| 2019 |
Vivekanantham A, Belousov M, Hassan L, Nenadic G, Dixon W. Patient discussions of glucocorticoid-related side effects within an online community health forum. Clinical Medicine (London, England). 19: 91. PMID 31345919 DOI: 10.7861/Clinmedicine.19-3-S91 |
0.302 |
|
| 2019 |
Karystianis G, Adily A, Schofield P, Knight L, Galdon C, Greenberg D, Jorm L, Nenadic G, Butler T. Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study. Journal of Medical Internet Research. 21: e13007. PMID 30951492 DOI: 10.2196/13007 |
0.3 |
|
| 2019 |
Vivekanantham A, Belousov M, Hassan L, Nenadic G, Dixon W. Op0024 Patient Discussions Of Glucocorticoid-Related Side Effects Within An Online Health Community Forum Annals of the Rheumatic Diseases. 78: 80-80. DOI: 10.1136/Annrheumdis-2019-Eular.2446 |
0.362 |
|
| 2019 |
Stetco A, Dinmohammadi F, Zhao X, Robu V, Flynn D, Barnes M, Keane J, Nenadic G. Machine learning methods for wind turbine condition monitoring: A review Renewable Energy. 133: 620-635. DOI: 10.1016/J.Renene.2018.10.047 |
0.301 |
|
| 2019 |
Milosevic N, Gregson C, Hernandez R, Nenadic G. A framework for information extraction from tables in biomedical literature International Journal On Document Analysis and Recognition (Ijdar). 22: 55-78. DOI: 10.1007/S10032-019-00317-0 |
0.421 |
|
| 2018 |
Sarker A, Belousov M, Friedrichs J, Hakala K, Kiritchenko S, Mehryary F, Han S, Tran T, Rios A, Kavuluru R, de Bruijn B, Ginter F, Mahata D, Mohammad SM, Nenadic G, et al. Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. Journal of the American Medical Informatics Association : Jamia. PMID 30272184 DOI: 10.1093/Jamia/Ocy114 |
0.33 |
|
| 2018 |
Karystianis G, Adily A, Schofield P, Knight L, Galdon C, Greenberg D, Jorm L, Nenadic G, Butler T. Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study. Journal of Medical Internet Research. 20: e11548. PMID 30213778 DOI: 10.2196/11548 |
0.36 |
|
| 2018 |
Arguello Casteleiro M, Demetriou G, Read W, Fernandez Prieto MJ, Maroto N, Maseda Fernandez D, Nenadic G, Klein J, Keane J, Stevens R. Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature. Journal of Biomedical Semantics. 9: 13. PMID 29650041 DOI: 10.1186/S13326-018-0181-1 |
0.372 |
|
| 2018 |
Tavakoli M, Zhao L, Heydari A, Nenadić G. Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools Expert Systems With Applications. 113: 186-199. DOI: 10.1016/J.Eswa.2018.05.037 |
0.353 |
|
| 2017 |
Karystianis G, Nevado AJ, Kim CH, Dehghan A, Keane JA, Nenadic G. Automatic mining of symptom severity from psychiatric evaluation notes. International Journal of Methods in Psychiatric Research. PMID 29271009 DOI: 10.1002/Mpr.1602 |
0.355 |
|
| 2017 |
Dehghan A, Kovacevic A, Karystianis G, Keane JA, Nenadic G. Learning to identify protected health information by integrating knowledge- and data-driven algorithms: a case study on psychiatric evaluation notes. Journal of Biomedical Informatics. PMID 28602908 DOI: 10.1016/J.Jbi.2017.06.005 |
0.397 |
|
| 2017 |
Arguello Casteleiro M, Maseda Fernandez D, Demetriou G, Read W, Fernandez Prieto MJ, Des Diz J, Nenadic G, Keane J, Stevens R. A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning. Studies in Health Technology and Informatics. 235: 516-520. PMID 28423846 DOI: 10.3233/978-1-61499-753-5-516 |
0.314 |
|
| 2017 |
Dinev M, Belousov M, Morris R, Berry N, Nenadic G. Using Twitter to mine sleep related information from people who declare a diagnosis of a psychotic disorder International Journal of Population Data Science. 1. DOI: 10.23889/Ijpds.V1I1.370 |
0.312 |
|
| 2017 |
Alfattni G, Peek N, Nenadic G, Caskey F. Integrating text analytics and statistical modelling to analyse kidney transplant immune suppression medication in registry data International Journal of Population Data Science. 1. DOI: 10.23889/Ijpds.V1I1.353 |
0.358 |
|
| 2017 |
Dehghan A, Liptrot T, O’hara C, Barker-Hewitt M, Tibble D, Nenadic G. Automated de-identification of clinical free-text International Journal of Population Data Science. 1. DOI: 10.23889/Ijpds.V1I1.345 |
0.416 |
|
| 2016 |
Duck G, Nenadic G, Filannino M, Brass A, Robertson DL, Stevens R. A Survey of Bioinformatics Database and Software Usage through Mining the Literature. Plos One. 11: e0157989. PMID 27331905 DOI: 10.1371/Journal.Pone.0157989 |
0.4 |
|
| 2016 |
Karystianis G, Sheppard T, Dixon WG, Nenadic G. Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database. Bmc Medical Informatics and Decision Making. 16: 18. PMID 26860263 DOI: 10.1186/S12911-016-0255-X |
0.338 |
|
| 2015 |
Wu C, Schwartz JM, Brabant G, Peng SL, Nenadic G. Constructing a molecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events. Bmc Systems Biology. 9: S5. PMID 26679379 DOI: 10.1186/1752-0509-9-S6-S5 |
0.354 |
|
| 2015 |
Dehghan A, Kovacevic A, Karystianis G, Keane JA, Nenadic G. Combining knowledge- and data-driven methods for de-identification of clinical narratives. Journal of Biomedical Informatics. PMID 26210359 DOI: 10.1016/J.Jbi.2015.06.029 |
0.412 |
|
| 2015 |
Karystianis G, Dehghan A, Kovacevic A, Keane JA, Nenadic G. Using local lexicalized rules to identify heart disease risk factors in clinical notes. Journal of Biomedical Informatics. PMID 26133479 DOI: 10.1016/J.Jbi.2015.06.013 |
0.312 |
|
| 2015 |
Duck G, Kovacevic A, Robertson DL, Stevens R, Nenadic G. Ambiguity and variability of database and software names in bioinformatics. Journal of Biomedical Semantics. 6: 29. PMID 26131352 DOI: 10.1186/S13326-015-0026-0 |
0.39 |
|
| 2015 |
Liptrot T, Karystianis G, Nenadic G, Keane JA, Livsey J, Barker-Hewitt M, O'Hara C. Using natural language processing to automatically extract cancer outcomes data from clinical notes European Journal of Cancer Care. 24. PMID 26040926 DOI: 10.1111/Ecc.12329 |
0.314 |
|
| 2014 |
Duck G, Nenadic G, Brass A, Robertson DL, Stevens R. Extracting patterns of database and software usage from the bioinformatics literature. Bioinformatics (Oxford, England). 30: i601-8. PMID 25161253 DOI: 10.1093/Bioinformatics/Btu471 |
0.356 |
|
| 2014 |
Karystianis G, Buchan I, Nenadic G. Mining characteristics of epidemiological studies from Medline: a case study in obesity. Journal of Biomedical Semantics. 5: 22. PMID 24949194 DOI: 10.1186/2041-1480-5-22 |
0.395 |
|
| 2013 |
Wu C, Schwartz JM, Nenadic G. PathNER: a tool for systematic identification of biological pathway mentions in the literature. Bmc Systems Biology. 7: S2. PMID 24555844 DOI: 10.1186/1752-0509-7-S3-S2 |
0.322 |
|
| 2013 |
Duck G, Nenadic G, Brass A, Robertson DL, Stevens R. bioNerDS: exploring bioinformatics' database and software use through literature mining. Bmc Bioinformatics. 14: 194. PMID 23768135 DOI: 10.1186/1471-2105-14-194 |
0.418 |
|
| 2013 |
Jamieson DG, Roberts PM, Robertson DL, Sidders B, Nenadic G. Cataloging the biomedical world of pain through semi-automated curation of molecular interactions. Database : the Journal of Biological Databases and Curation. 2013: bat033. PMID 23707966 DOI: 10.1093/Database/Bat033 |
0.333 |
|
| 2013 |
Kovacevic A, Dehghan A, Filannino M, Keane JA, Nenadic G. Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. Journal of the American Medical Informatics Association : Jamia. 20: 859-66. PMID 23605114 DOI: 10.1136/Amiajnl-2013-001625 |
0.371 |
|
| 2013 |
Hakenberg J, Nenadic G, Rebholz-Schuhmann D, Kim JD. Literature mining solutions for life science research. Advances in Bioinformatics. 2013: 320436. PMID 23365570 DOI: 10.1155/2013/320436 |
0.43 |
|
| 2013 |
Duck G, Nenadic G, Robertson DL, Stevens R. What is bioinformatics made from? A survey of database and software usage through full-text mining F1000research. 4. DOI: 10.7490/F1000Research.1093886.1 |
0.347 |
|
| 2012 |
Gerner M, Sarafraz F, Bergman CM, Nenadic G. BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events. Bioinformatics (Oxford, England). 28: 2154-61. PMID 22711795 DOI: 10.1093/Bioinformatics/Bts332 |
0.589 |
|
| 2012 |
Jamieson DG, Gerner M, Sarafraz F, Nenadic G, Robertson DL. Towards semi-automated curation: using text mining to recreate the HIV-1, human protein interaction database. Database : the Journal of Biological Databases and Curation. 2012: bas023. PMID 22529179 DOI: 10.1093/Database/Bas023 |
0.354 |
|
| 2012 |
Kovačević A, Konjović Z, Milosavljević B, Nenadic G. Mining methodologies from NLP publications: A case study in automatic terminology recognition Computer Speech and Language. 26: 105-126. DOI: 10.1016/J.Csl.2011.09.001 |
0.393 |
|
| 2011 |
Baran J, Gerner M, Haeussler M, Nenadic G, Bergman CM. pubmed2ensembl: a resource for mining the biological literature on genes. Plos One. 6: e24716. PMID 21980353 DOI: 10.1371/Journal.Pone.0024716 |
0.585 |
|
| 2011 |
Hakenberg J, Gerner M, Haeussler M, Solt I, Plake C, Schroeder M, Gonzalez G, Nenadic G, Bergman CM. The GNAT library for local and remote gene mention normalization. Bioinformatics (Oxford, England). 27: 2769-71. PMID 21813477 DOI: 10.1093/Bioinformatics/Btr455 |
0.588 |
|
| 2011 |
Morrison N, Hancock D, Hirschman L, Dawyndt P, Verslyppe B, Kyrpides N, Kottmann R, Yilmaz P, Glöckner FO, Grethe J, Booth T, Sterk P, Nenadic G, Field D. Data shopping in an open marketplace: Introducing the Ontogrator web application for marking up data using ontologies and browsing using facets. Standards in Genomic Sciences. 4: 286-92. PMID 21677865 DOI: 10.4056/Sigs.1344279 |
0.418 |
|
| 2011 |
Afzal H, Eales J, Stevens R, Nenadic G. Mining semantic networks of bioinformatics e-resources from the literature. Journal of Biomedical Semantics. 2: S4. PMID 21388573 DOI: 10.1186/2041-1480-2-S1-S4 |
0.397 |
|
| 2010 |
Stivaros SM, Gledson A, Nenadic G, Zeng XJ, Keane J, Jackson A. Decision support systems for clinical radiological practice -- towards the next generation. The British Journal of Radiology. 83: 904-14. PMID 20965900 DOI: 10.1259/Bjr/33620087 |
0.302 |
|
| 2010 |
Spasic I, Sarafraz F, Keane JA, Nenadic G. Medication information extraction with linguistic pattern matching and semantic rules. Journal of the American Medical Informatics Association : Jamia. 17: 532-5. PMID 20819858 DOI: 10.1136/Jamia.2010.003657 |
0.394 |
|
| 2010 |
Rebholz-Schuhmann D, Nenadic G. Biomedical semantics: the hub for biomedical research 2.0. Journal of Biomedical Semantics. 1: 1. PMID 20618983 DOI: 10.1186/2041-1480-1-1 |
0.356 |
|
| 2010 |
Gerner M, Nenadic G, Bergman CM. LINNAEUS: a species name identification system for biomedical literature. Bmc Bioinformatics. 11: 85. PMID 20149233 DOI: 10.1186/1471-2105-11-85 |
0.562 |
|
| 2009 |
Yang H, Spasic I, Keane JA, Nenadic G. A text mining approach to the prediction of disease status from clinical discharge summaries. Journal of the American Medical Informatics Association : Jamia. 16: 596-600. PMID 19390098 DOI: 10.1197/Jamia.M3096 |
0.359 |
|
| 2009 |
Yang H, Keane J, Bergman CM, Nenadic G. Assigning roles to protein mentions: the case of transcription factors. Journal of Biomedical Informatics. 42: 887-94. PMID 19364541 DOI: 10.1016/J.Jbi.2009.04.001 |
0.598 |
|
| 2008 |
Yang H, Nenadic G, Keane JA. Identification of transcription factor contexts in literature using machine learning approaches. Bmc Bioinformatics. 9: S11. PMID 18426546 DOI: 10.1186/1471-2105-9-S3-S11 |
0.301 |
|
| 2007 |
Yang H, Nenadic G, Keane JA. A cascaded approach to normalising gene mentions in biomedical literature. Bioinformation. 2: 197-206. PMID 18305829 DOI: 10.6026/97320630002197 |
0.358 |
|
| 2006 |
Nenadić G, Ananiadou S. Mining semantically related terms from biomedical literature Acm Transactions On Asian Language Information Processing. 5: 22-43. DOI: 10.1145/1131348.1131351 |
0.381 |
|
| 2005 |
Rice SB, Nenadic G, Stapley BJ. Mining protein function from text using term-based support vector machines. Bmc Bioinformatics. 6: S22. PMID 15960835 DOI: 10.1186/1471-2105-6-S1-S22 |
0.386 |
|
| 2004 |
Krauthammer M, Nenadic G. Term identification in the biomedical literature. Journal of Biomedical Informatics. 37: 512-26. PMID 15542023 DOI: 10.1016/J.Jbi.2004.08.004 |
0.369 |
|
| 2004 |
Nenadic G, Spasic I, Ananiadou S. Mining term similarities from corpora Terminology. 10: 55-80. DOI: 10.1075/Term.10.1.04Nen |
0.333 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2017 |
Berry N, Lobban F, Belousov M, Emsley R, Nenadic G, Bucci S. #WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems. Journal of Medical Internet Research. 19: e107. PMID 28381392 DOI: 10.2196/Jmir.6173 |
0.299 |
|
| 2018 |
Nenadic G. i037 Mining data from the clinical record Rheumatology. 57. DOI: 10.1093/Rheumatology/Key075.037 |
0.299 |
|
| 2018 |
Stoney RA, Schwartz JM, Robertson DL, Nenadic G. Using set theory to reduce redundancy in pathway sets. Bmc Bioinformatics. 19: 386. PMID 30340461 DOI: 10.1186/S12859-018-2355-3 |
0.292 |
|
| 2014 |
Wallbridge S, Lowe AJ, Keane JA, Nenadic G, Cooper J. An ontological approach to knowledge management for sustainable nuclear decommissioning International Journal of Nuclear Knowledge Management. 6: 199. DOI: 10.1504/Ijnkm.2014.058924 |
0.291 |
|
| 2016 |
Flórez-Vargas O, Brass A, Karystianis G, Bramhall M, Stevens R, Cruickshank S, Nenadic G. Bias in the reporting of sex and age in biomedical research on mouse models. Elife. 5. PMID 26939790 DOI: 10.7554/Elife.13615 |
0.281 |
|
| 2023 |
Fitzpatrick NK, Dobson R, Roberts A, Jones K, Shah AD, Nenadic G, Ford E. Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders. Jmir Medical Informatics. 11: e45534. PMID 37133927 DOI: 10.2196/45534 |
0.278 |
|
| 2021 |
Alfattni G, Peek N, Nenadic G. Attention-Based Bidirectional Long Short-Term Memory Networks for Extracting Temporal Relationships from Clinical Discharge Summaries. Journal of Biomedical Informatics. 103915. PMID 34600144 DOI: 10.1016/j.jbi.2021.103915 |
0.275 |
|
| 2021 |
Alfattni G, Belousov M, Peek N, Nenadic G. Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study. Jmir Medical Informatics. 9: e24678. PMID 33949962 DOI: 10.2196/24678 |
0.273 |
|
| 2019 |
Karystianis G, Adily A, Schofield PW, Greenberg D, Jorm L, Nenadic G, Butler T. Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study. Journal of Medical Internet Research. 21: e13067. PMID 30860490 DOI: 10.2196/13067 |
0.268 |
|
| 2014 |
Jamieson DG, Moss A, Kennedy M, Jones S, Nenadic G, Robertson DL, Sidders B. The pain interactome: connecting pain-specific protein interactions. Pain. 155: 2243-52. PMID 24978826 DOI: 10.1016/J.Pain.2014.06.020 |
0.266 |
|
| 2014 |
Wu C, Schwartz JM, Brabant G, Nenadic G. Molecular profiling of thyroid cancer subtypes using large-scale text mining. Bmc Medical Genomics. 7: S3. PMID 25521965 DOI: 10.1186/1755-8794-7-S3-S3 |
0.266 |
|
| 2016 |
Read WJ, Demetriou G, Nenadic G, Ruddock N, Stevens R, Winter J. The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing. Journal of Biomedical Semantics. 7: 30. PMID 27246819 DOI: 10.1186/S13326-016-0071-3 |
0.263 |
|
| 2015 |
Stoney RA, Ames RM, Nenadic G, Robertson DL, Schwartz JM. Disentangling the multigenic and pleiotropic nature of molecular function. Bmc Systems Biology. 9: S3. PMID 26678917 DOI: 10.1186/1752-0509-9-S6-S3 |
0.259 |
|
| 2013 |
Wu C, Schwartz J, Nenadic G. Large-scale identification and exploration of biological pathway mentions in cancer literature F1000research. 4. DOI: 10.7490/F1000Research.1094276.1 |
0.251 |
|
| 2021 |
Noble PM, Appleton C, Radford AD, Nenadic G. Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogs. Plos One. 16: e0260402. PMID 34882714 DOI: 10.1371/journal.pone.0260402 |
0.248 |
|
| 2009 |
Afzal H, Stevens R, Nenadic G. Mining semantic descriptions of bioinformatics web resources from the literature Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5554: 535-549. DOI: 10.1007/978-3-642-02121-3_40 |
0.247 |
|
| 2003 |
Nenadic G, Spasic I, Ananiadou S. Terminology-driven mining of biomedical literature. Bioinformatics (Oxford, England). 19: 938-43. PMID 12761055 DOI: 10.1093/bioinformatics/btg105 |
0.247 |
|
| 2020 |
Xu X, Yang K, Zhang F, Liu W, Wang Y, Yu C, Wang J, Zhang K, Zhang C, Nenadic G, Tao D, Zhou X, Shang H, Chen J. Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia. Pharmacological Research. 104797. PMID 32278044 DOI: 10.1016/J.Phrs.2020.104797 |
0.244 |
|
| 2020 |
Vivekanantham A, Belousov M, Hassan L, Nenadic G, Dixon WG. P58 Patient discussions of glucocorticoid related side effects within an online health community forum Rheumatology. 59. DOI: 10.1093/Rheumatology/Keaa111.057 |
0.238 |
|
| 2016 |
Dehghan A, Liptrot T, Tibble D, Barker-Hewitt M, Nenadic G. Identification of occupation mentions in clinical narratives Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9612: 359-365. DOI: 10.1007/978-3-319-41754-7_35 |
0.232 |
|
| 2016 |
Flórez-Vargas O, Brass A, Karystianis G, Bramhall M, Stevens R, Cruickshank S, Nenadic G. Author response: Bias in the reporting of sex and age in biomedical research on mouse models Elife. DOI: 10.7554/Elife.13615.016 |
0.231 |
|
| 2020 |
Vaci N, Koychev I, Kim CH, Kormilitzin A, Liu Q, Lucas C, Dehghan A, Nenadic G, Nevado-Holgado A. Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study. The British Journal of Psychiatry : the Journal of Mental Science. 1-7. PMID 32713359 DOI: 10.1192/Bjp.2020.136 |
0.218 |
|
| 2022 |
Karystianis G, Cabral RC, Adily A, Lukmanjaya W, Schofield P, Buchan I, Nenadic G, Butler T. Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study. Jmir Formative Research. 6: e39373. PMID 36264613 DOI: 10.2196/39373 |
0.212 |
|
| 2015 |
Koliopoulos AK, Yiapanis P, Tekiner F, Nenadic G, Keane J. A Parallel Distributed Weka Framework for Big Data Mining Using Spark Proceedings - 2015 Ieee International Congress On Big Data, Bigdata Congress 2015. 9-16. DOI: 10.1109/BigDataCongress.2015.12 |
0.212 |
|
| 2020 |
Alfattni G, Peek N, Nenadic G. Corrigendum to "Extraction of temporal relations from clinical free text: A systematic review of current approaches" [J. Biomed. Inf. 108 (2020) 103488]. Journal of Biomedical Informatics. 113: 103663. PMID 33341543 DOI: 10.1016/j.jbi.2020.103663 |
0.209 |
|
| 2017 |
Patel RR, Belousov M, Jani M, Dasgupta N, Winakor C, Nenadic G, Dixon W. 146. Frequent Discussion Of Insomnia And Weight Gain With Glucocorticoid Therapy: An Analysis Of Twitter Posts Rheumatology. 56. DOI: 10.1093/Rheumatology/Kex062.147 |
0.203 |
|
| 2020 |
Karystianis G, Simpson A, Adily A, Schofield P, Greenberg D, Wand H, Nenadic G, Butler T. Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study. Journal of Medical Internet Research. 22: e23725. PMID 33361056 DOI: 10.2196/23725 |
0.195 |
|
| 2012 |
Kova?evi? A, Dehghan A, Keane JA, Nenadic G. Topic categorisation of statements in suicide notes with integrated rules and machine learning. Biomedical Informatics Insights. 5: 115-24. PMID 22879767 DOI: 10.4137/BII.S8978 |
0.192 |
|
| 2016 |
Demetriou G, Read W, Fletcher M, Ruddock N, Nenadic G, Jackson T, Stevens R, Winter J. A curation pipeline for bio-derived chemical feedstocks F1000research. 5. DOI: 10.7490/F1000Research.1111791.1 |
0.191 |
|
| 2023 |
Karystianis G, Simpson P, Lukmanjaya W, Ginnivan N, Nenadic G, Buchan I, Butler T. Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study. Jmir Formative Research. 7: e49721. PMID 37738080 DOI: 10.2196/49721 |
0.189 |
|
| 2023 |
Hassan L, Elkaref M, de Mel G, Bogdanovica I, Nenadic G. Text mining tweets on e-cigarette risks and benefits using machine learning following a vaping related lung injury outbreak in the USA. Healthcare Analytics (New York, N.Y.). 2: None. PMID 36605918 DOI: 10.1016/j.health.2022.100066 |
0.188 |
|
| 2018 |
Patel R, Belousov M, Jani M, Dasgupta N, Winokur C, Nenadic G, Dixon WG. Frequent discussion of insomnia and weight gain with glucocorticoid therapy: An analysis of Twitter posts. Npj Digital Medicine. 1. PMID 30740536 DOI: 10.1038/s41746-017-0007-z |
0.179 |
|
| 2023 |
Jani M, Yimer BB, Selby D, Lunt M, Nenadic G, Dixon WG. "Take up to eight tablets per day": Incorporating free-text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology. Pharmacoepidemiology and Drug Safety. PMID 36718594 DOI: 10.1002/pds.5595 |
0.175 |
|
| 2021 |
Hassan L, Nenadic G, Tully MP. A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis. Journal of Medical Internet Research. 23: e16348. PMID 33591280 DOI: 10.2196/16348 |
0.158 |
|
| 2022 |
Karystianis G, Adily A, Schofield PW, Wand H, Lukmanjaya W, Buchan I, Nenadic G, Butler T. Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records. Frontiers in Psychiatry. 12: 787792. PMID 35222105 DOI: 10.3389/fpsyt.2021.787792 |
0.156 |
|
| 2018 |
Stoney R, Robertson DL, Nenadic G, Schwartz JM. Mapping biological process relationships and disease perturbations within a pathway network. Npj Systems Biology and Applications. 4: 22. PMID 29900005 DOI: 10.1038/s41540-018-0055-2 |
0.154 |
|
| 2021 |
Bulcock A, Hassan L, Giles S, Sanders C, Nenadic G, Campbell S, Dixon W. Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study. Drug Safety. PMID 33582973 DOI: 10.1007/s40264-021-01042-6 |
0.15 |
|
| 2019 |
Karystianis G, Florez-Vargas O, Butler T, Nenadic G. A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records. Jamia Open. 2: 521-527. PMID 32025649 DOI: 10.1093/jamiaopen/ooz041 |
0.146 |
|
| 2022 |
Karystianis G, Lukmanjaya W, Simpson P, Schofield P, Ginnivan N, Nenadic G, van Leeuwen M, Buchan I, Butler T. An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study. Interactive Journal of Medical Research. 11: e42891. PMID 36469411 DOI: 10.2196/42891 |
0.137 |
|
| 2015 |
Nenadic G. Contextualisation of biomedical knowledge through large-scale processing of literature, clinical narratives and social media Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9105: 7-9. DOI: 10.1007/978-3-319-19551-3_2 |
0.135 |
|
| 2015 |
Filannino M, Nenadic G. Temporal expression extraction with extensive feature type selection and a posteriori label adjustment Data and Knowledge Engineering. 100: 19-33. DOI: 10.1016/j.datak.2015.09.002 |
0.131 |
|
| 2014 |
Zaki Ali MM, Nenadic G, Theodoulidis B. Identification of multi-focal questions in question and answer reports Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8455: 126-137. DOI: 10.1007/978-3-319-07983-7_17 |
0.131 |
|
| 2021 |
Yang X, Wu C, Nenadic G, Wang W, Lu K. Mining a stroke knowledge graph from literature. Bmc Bioinformatics. 22: 387. PMID 34325669 DOI: 10.1186/s12859-021-04292-4 |
0.124 |
|
| 2024 |
Davies H, Nenadic G, Alfattni G, Arguello Casteleiro M, Al Moubayed N, Farrell SO, Radford AD, Noble PM. Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for words. Frontiers in Veterinary Science. 11: 1352239. PMID 38322169 DOI: 10.3389/fvets.2024.1352239 |
0.12 |
|
| 2010 |
Sarafraz F, Nenadic G. Identification of negated regulation events in the literature: Exploring the feature space Ceur Workshop Proceedings. 714: 134-138. |
0.119 |
|
| 2018 |
Nenadic G, Stewart R, Spasic I. Healtex: UK Healthcare Text Analytics Research Network, EPSRC Impact. 2018: 9-11. DOI: 10.21820/23987073.2018.10.9 |
0.117 |
|
| 2008 |
Afzal H, Stevens R, Nenadic G. Towards semantic annotation of bioinformatics services: Building a controlled vocabulary 3rd International Symposium On Semantic Mining in Biomedicine, Smbm 2008 - Proceedings. 5-12. |
0.117 |
|
| 2013 |
Dehghan A, Keane JA, Nenadic G. Challenges in clinical named entity recognition for decision support Proceedings - 2013 Ieee International Conference On Systems, Man, and Cybernetics, Smc 2013. 947-951. DOI: 10.1109/SMC.2013.166 |
0.113 |
|
| 2008 |
Rebholz-Schuhmann D, Nenadic G. Towards standardisation of named-entity annotations in the life science literature 3rd International Symposium On Semantic Mining in Biomedicine, Smbm 2008 - Proceedings. 167-169. |
0.11 |
|
| 2005 |
Nenadic G, Spasic I, Ananiadou S. Mining biomedical abstracts: What's in a term? Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3248: 797-806. |
0.108 |
|
| 2018 |
Patel R, Belousov M, Jani M, Dasgupta N, Winokur C, Nenadic G, Dixon WG. Erratum: Author Correction: Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts. Npj Digital Medicine. 1: 28. PMID 31304310 DOI: 10.1038/s41746-018-0037-1 |
0.084 |
|
| 2021 |
Rana H, Nenadic G, Dixon WG, Jani M. Perceptions of opioid use and impact on quality of life in patients with musculoskeletal conditions within online health community forums. Rheumatology Advances in Practice. 5: rkab078. PMID 34805738 DOI: 10.1093/rap/rkab078 |
0.083 |
|
| 2021 |
Yang X, Wu C, Nenadic G, Wang W, Lu K. Correction to: Mining a stroke knowledge graph from literature. Bmc Bioinformatics. 22: 585. PMID 34879823 DOI: 10.1186/s12859-021-04502-z |
0.072 |
|
| 2000 |
Nenadic G, Spasic I. Recognition and acquisition of compound names from corpora Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 1835: 38-48. |
0.071 |
|
| 2013 |
Tian D, Gledson A, Antoniades A, Aristodimou A, Dimitrios N, Sahay R, Pan J, Stivaros S, Nenadic G, Zeng XJ, Keane J. A bayesian association rule mining algorithm Proceedings - 2013 Ieee International Conference On Systems, Man, and Cybernetics, Smc 2013. 3258-3264. DOI: 10.1109/SMC.2013.555 |
0.069 |
|
| 2009 |
Latif S, Wood MM, Nenadic G. Correlation between human assessment of essays and ROUGE evaluation of essays' summaries 2009 8th International Symposium On Natural Language Processing, Snlp '09. 122-127. DOI: 10.1109/SNLP.2009.5340933 |
0.05 |
|
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