BetterScholar BetterScholar
11
Role
Title
Level Year L/R
🐒 Machine learning methods for wind turbine condition monitoring: A review
8 auth. Adrian Stetco, F. Dinmohammadi, Xingyu Zhao, V. Robu, D. Flynn, M. Barnes, ... J. Keane, G. Nenadic
9 2019
9
🐒
🐬 LINNAEUS: A species name identification system for biomedical literature
Martin Gerner, G. Nenadic, C. Bergman
8 2010
8
🐬
🐒 Term identification in the biomedical literature
M. Krauthammer, G. Nenadic
8 2004
8
🐒
🐒 Clinical Text Data in Machine Learning: Systematic Review
Irena Spasic, G. Nenadic
7 2020
7
🐒
🐒 Text mining of cancer-related information: Review of current status and future directions
Irena Spasic, J. Livsey, J. Keane, G. Nenadic
7 2014
7
🐒
🐬 #WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems
Natalie Berry, F. Lobban, M. Belousov, R. Emsley, G. Nenadic, S. Bucci
7 2017
7
🐬
🐒 A text mining approach to the prediction of disease status from clinical discharge summaries.
Hui Yang, Irena Spasic, J. Keane, G. Nenadic
6 2009
6
🐒
🐒 Bias in the reporting of sex and age in biomedical research on mouse models
7 auth. O. FlΓ³rez-Vargas, A. Brass, George Karystianis, Michael Bramhall, R. Stevens, S. Cruickshank, ... G. Nenadic
6 2016
6
🐒
🐒 Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
Aleksandar KovačeviΔ‡, Azad Dehghan, Michele Filannino, J. Keane, G. Nenadic
6 2013
6
🐒
🐜 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
16 auth. A. Sarker, M. Belousov, Jasper Friedrichs, K. Hakala, S. Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, ... Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, G. Nenadic, G. Gonzalez-Hernandez
6 2018
6
🐜
🐒 Medication information extraction with linguistic pattern matching and semantic rules
Irena Spasic, Farzaneh Sarafraz, J. Keane, G. Nenadic
6 2010
6
🐒