Artigos com autorizações de acesso público - Goran NenadicSaiba mais
4 artigos não disponíveis publicamente
Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia
X Xu, K Yang, F Zhang, W Liu, Y Wang, C Yu, J Wang, K Zhang, C Zhang, ...
Pharmacological Research 156, 104797, 2020
Autorizações: National Natural Science Foundation of China
Wind Turbine operational state prediction: Towards featureless, end-to-end predictive maintenance
A Stetco, A Mohammed, S Djurović, G Nenadic, J Keane
2019 IEEE International Conference on Big Data (Big Data), 4422-4430, 2019
Autorizações: UK Engineering and Physical Sciences Research Council
Patient discussions of glucocorticoid-related side effects within an online health community forum
A Vivekanantham, M Belousov, L Hassan, G Nenadic, WG Dixon
Annals of the rheumatic diseases 79 (8), 1121-1122, 2020
Autorizações: US National Institutes of Health, Versus Arthritis, UK, UK Engineering and …
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models
H Tu, L Han, G Nenadic
2023 IEEE International Conference on Big Data (BigData), 2735-2744, 2023
Autorizações: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
91 artigos disponíveis publicamente
Machine learning methods for wind turbine condition monitoring: A review
A Stetco, F Dinmohammadi, X Zhao, V Robu, D Flynn, M Barnes, J Keane, ...
Renewable energy 133, 620-635, 2019
Autorizações: UK Engineering and Physical Sciences Research Council
Clinical text data in machine learning: systematic review
I Spasic, G Nenadic
JMIR medical informatics 8 (3), e17984, 2020
Autorizações: UK Engineering and Physical Sciences Research Council, UK Medical Research …
# WhyWeTweetMH: understanding why people use Twitter to discuss mental health problems
N Berry, F Lobban, M Belousov, R Emsley, G Nenadic, S Bucci
Journal of medical Internet research 19 (4), e107, 2017
Autorizações: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Text mining of cancer-related information: review of current status and future directions
I Spasić, J Livsey, JA Keane, G Nenadić
International journal of medical informatics 83 (9), 605-623, 2014
Autorizações: UK Medical Research Council
Bias in the reporting of sex and age in biomedical research on mouse models
O Flórez-Vargas, A Brass, G Karystianis, M Bramhall, R Stevens, ...
Elife 5, e13615, 2016
Autorizações: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
A Kovačević, A Dehghan, M Filannino, JA Keane, G Nenadic
Journal of the American Medical Informatics Association 20 (5), 859-866, 2013
Autorizações: US National Institutes of Health, UK Engineering and Physical Sciences …
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
A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ...
Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018
Autorizações: US National Institutes of Health, UK Engineering and Physical Sciences …
Medication information extraction with linguistic pattern matching and semantic rules
I Spasić, F Sarafraz, JA Keane, G Nenadić
Journal of the American Medical Informatics Association 17 (5), 532-535, 2010
Autorizações: US National Institutes of Health
Combining knowledge-and data-driven methods for de-identification of clinical narratives
A Dehghan, A Kovacevic, G Karystianis, JA Keane, G Nenadic
Journal of biomedical informatics 58, S53-S59, 2015
Autorizações: US National Institutes of Health, UK Medical Research Council
A survey of bioinformatics database and software usage through mining the literature
G Duck, G Nenadic, M Filannino, A Brass, DL Robertson, R Stevens
PloS one 11 (6), e0157989, 2016
Autorizações: UK Biotechnology and Biological Sciences Research Council, UK Engineering …
A framework for information extraction from tables in biomedical literature
N Milosevic, C Gregson, R Hernandez, G Nenadic
International Journal on Document Analysis and Recognition (IJDAR) 22, 55-78, 2019
Autorizações: UK Engineering and Physical Sciences Research Council
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature
M Arguello Casteleiro, G Demetriou, W Read, MJ Fernandez Prieto, ...
Journal of biomedical semantics 9, 1-24, 2018
Autorizações: UK Medical Research Council
Should free-text data in electronic medical records be shared for research? A citizens’ jury study in the UK
E Ford, M Oswald, L Hassan, K Bozentko, G Nenadic, J Cassell
Journal of medical ethics 46 (6), 367-377, 2020
Autorizações: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Automated analysis of domestic violence police reports to explore abuse types and victim injuries: Text mining study
G Karystianis, A Adily, PW Schofield, D Greenberg, L Jorm, G Nenadic, ...
Journal of medical Internet research 21 (3), e13067, 2019
Autorizações: UK Engineering and Physical Sciences Research Council, UK Medical Research …
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
M Filannino, G Brown, G Nenadic
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
Autorizações: UK Engineering and Physical Sciences Research Council
Extraction of temporal relations from clinical free text: A systematic review of current approaches
G Alfattni, N Peek, G Nenadic
Journal of biomedical informatics 108, 103488, 2020
Autorizações: UK Engineering and Physical Sciences Research Council
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