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 | 707 | 2019 |
Term identification in the biomedical literature M Krauthammer, G Nenadic Journal of biomedical informatics 37 (6), 512-526, 2004 | 481 | 2004 |
LINNAEUS: a species name identification system for biomedical literature M Gerner, G Nenadic, CM Bergman BMC bioinformatics 11, 1-17, 2010 | 394 | 2010 |
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 | 249 | 2014 |
Clinical text data in machine learning: systematic review I Spasic, G Nenadic JMIR medical informatics 8 (3), e17984, 2020 | 248 | 2020 |
# 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 | 240 | 2017 |
A text mining approach to the prediction of disease status from clinical discharge summaries H Yang, I Spasic, JA Keane, G Nenadic Journal of the American Medical Informatics Association 16 (4), 596-600, 2009 | 118 | 2009 |
Enhancing automatic term recognition through recognition of variation G Nenadic, S Ananiadou, J McNaught COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 117 | 2004 |
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 | 110 | 2016 |
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 | 104 | 2013 |
The GNAT library for local and remote gene mention normalization J Hakenberg, M Gerner, M Haeussler, I Solt, C Plake, M Schroeder, ... Bioinformatics 27 (19), 2769-2771, 2011 | 94 | 2011 |
Automatic discovery of term similarities using pattern mining G Nenadic, I Spasić, S Ananiadou COLING-02: COMPUTERM 2002: Second International Workshop on Computational …, 2002 | 93* | 2002 |
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 | 90 | 2018 |
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 | 90 | 2010 |
A parallel distributed weka framework for big data mining using spark AK Koliopoulos, P Yiapanis, F Tekiner, G Nenadic, J Keane 2015 IEEE international congress on big data, 9-16, 2015 | 81 | 2015 |
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 | 79 | 2015 |
Terminology-driven mining of biomedical literature G Nenadić, I Spasić, S Ananiadou Proceedings of the 2003 ACM symposium on Applied computing, 83-87, 2003 | 75 | 2003 |
BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events M Gerner, F Sarafraz, CM Bergman, G Nenadic Bioinformatics 28 (16), 2154-2161, 2012 | 71 | 2012 |
Mining protein function from text using term-based support vector machines SB Rice, G Nenadic, BJ Stapley BMC bioinformatics 6, 1-11, 2005 | 67 | 2005 |
Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools M Tavakoli, L Zhao, A Heydari, G Nenadić Expert Systems with Applications 113, 186-199, 2018 | 64 | 2018 |