| Utilizing social media data for pharmacovigilance: a review A Sarker, R Ginn, A Nikfarjam, K O’Connor, K Smith, S Jayaraman, ... Journal of biomedical informatics 54, 202-212, 2015 | 896* | 2015 |
| Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features A Nikfarjam, A Sarker, K O’connor, R Ginn, G Gonzalez Journal of the American Medical Informatics Association 22 (3), 671-681, 2015 | 637 | 2015 |
| Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts I Korkontzelos, A Nikfarjam, M Shardlow, A Sarker, S Ananiadou, ... Journal of biomedical informatics 62, 148-158, 2016 | 201 | 2016 |
| Pattern mining for extraction of mentions of adverse drug reactions from user comments A Nikfarjam, GH Gonzalez AMIA annual symposium proceedings 2011, 1019, 2011 | 184 | 2011 |
| Pharmacovigilance on twitter? Mining tweets for adverse drug reactions K O’Connor, P Pimpalkhute, A Nikfarjam, R Ginn, KL Smith, G Gonzalez AMIA annual symposium proceedings 2014, 924, 2014 | 175 | 2014 |
| Social media mining for public health monitoring and surveillance MJ Paul, A Sarker, JS Brownstein, A Nikfarjam, M Scotch, KL Smith, ... Biocomputing 2016: Proceedings of the Pacific symposium, 468-479, 2016 | 167 | 2016 |
| Mining Twitter for adverse drug reaction mentions: a corpus and classification benchmark R Ginn, P Pimpalkhute, A Nikfarjam, A Patki, K O’Connor, A Sarker, ... Proceedings of the fourth workshop on building and evaluating resources for …, 2014 | 167 | 2014 |
| Text mining approaches for stock market prediction A Nikfarjam, E Emadzadeh, S Muthaiyah 2010 The 2nd international conference on computer and automation engineering …, 2010 | 128 | 2010 |
| Mining adverse drug reaction signals from social media: going beyond extraction A Patki, A Sarker, P Pimpalkhute, A Nikfarjam, R Ginn, K O’Connor, ... Proceedings of BioLinkSig 2014, 1-8, 2014 | 78 | 2014 |
| Towards generating a patient’s timeline: extracting temporal relationships from clinical notes A Nikfarjam, E Emadzadeh, G Gonzalez Journal of biomedical informatics 46, S40-S47, 2013 | 63 | 2013 |
| Social media mining shared task workshop A Sarker, A Nikfarjam, G Gonzalez Biocomputing 2016: Proceedings of the Pacific Symposium, 581-592, 2016 | 60 | 2016 |
| Natural language processing to extract meaningful information from patient experience feedback K Nawab, G Ramsey, R Schreiber Applied Clinical Informatics 11 (02), 242-252, 2020 | 49 | 2020 |
| Phonetic spelling filter for keyword selection in drug mention mining from social media P Pimpalkhute, A Patki, A Nikfarjam, G Gonzalez AMIA Summits on Translational Science Proceedings 2014, 90, 2014 | 49 | 2014 |
| Early detection of adverse drug reactions in social health networks: a natural language processing pipeline for signal detection A Nikfarjam, JD Ransohoff, A Callahan, E Jones, B Loew, BY Kwong, ... JMIR public health and surveillance 5 (2), e11264, 2019 | 38 | 2019 |
| A hybrid system for emotion extraction from suicide notes A Nikfarjam, E Emadzadeh, G Gonzalez Biomedical informatics insights 5, BII. S8981, 2012 | 20 | 2012 |
| Hybrid semantic analysis for mapping adverse drug reaction mentions in tweets to medical terminology E Emadzadeh, A Sarker, A Nikfarjam, G Gonzalez AMIA Annual Symposium Proceedings 2017, 679, 2017 | 18 | 2017 |
| Comment on:“Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts” A Magge, A Sarker, A Nikfarjam, G Gonzalez-Hernandez Journal of the American Medical Informatics Association 26 (6), 577-579, 2019 | 15 | 2019 |
| Learning materials recommendation using a hybrid recommender system with automated keyword extraction E Emadzadeh, A Nikfarjam, KI Gauth, NG Why World Applied Science, 9 (11), 1260-1271, 2010 | 13 | 2010 |
| Double layered learning for biological event extraction from text E Emadzadeh, A Nikfarjam, G Gonzalez Proceedings of BioNLP Shared Task 2011 Workshop, 153-154, 2011 | 10 | 2011 |
| The emotional toll of inflammatory bowel disease: using machine learning to analyze online community forum discourse R Lerrigo, JTR Coffey, JL Kravitz, P Jadhav, A Nikfarjam, NH Shah, ... Crohn's & Colitis 360 1 (2), otz011, 2019 | 9 | 2019 |
Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical CenterПотвърден имейл адрес: cshs.org
