Graciela Gonzalez-Hernandez

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Karen O'ConnorSenior Data Analyst, University of PennsylvaniaCorreu electrònic verificat a pennmedicine.upenn.edu
Davy WeissenbacherResearch Data Scientist at Cedars-SinaiCorreu electrònic verificat a cshs.org
Ari Z. KleinUniversity of PennsylvaniaCorreu electrònic verificat a pennmedicine.upenn.edu
Arjun MaggeUniversity of PennsylvaniaCorreu electrònic verificat a asu.edu
Azadeh NikfarjamStanford UniversityCorreu electrònic verificat a stanford.edu
Robert LeamanStaff Scientist, NCBI/NLM/NIHCorreu electrònic verificat a nih.gov
Su GolderDepartment of Health Sciences, University of YorkCorreu electrònic verificat a york.ac.uk
Siddhartha "Sid J Reddy" JonnalagaddaGoogleCorreu electrònic verificat a berkeley.edu
Tasnia TahsinArizona State UniversityCorreu electrònic verificat a asu.edu
Ivan FloresResearch Data Scientist at Cedars-SinaiCorreu electrònic verificat a cshs.org
Ryan J UrbanowiczCedars Sinai Medical CenterCorreu electrònic verificat a cshs.org
Sean HennessyProfessor of Epidemiology, University of PennsylvaniaCorreu electrònic verificat a upenn.edu
Ehsan EmadzadehArizona State UniversityCorreu electrònic verificat a asu.edu
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CACorreu electrònic verificat a csmc.edu
Pranoti PimpalkhuteArizona State UniversityCorreu electrònic verificat a amazon.com
Casey S. GreeneBiomedical Informatics; Center for Health AI; University of Colorado Anschutz MedicalCorreu electrònic verificat a cuanschutz.edu
Tran Cao SonProfessor of Computer Science, New Mexico State UniversityCorreu electrònic verificat a nmsu.edu
Mary Regina Boland, MA, MPhil, PhD,...Saint Vincent College, Latrobe, PA, USACorreu electrònic verificat a stvincent.edu
Juan M. BandaStanford Health CareCorreu electrònic verificat a stanfordhealthcare.org
Trevor CohenUniversity of WashingtonCorreu electrònic verificat a uw.edu

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Graciela Gonzalez-Hernandez

Dep. of Computational Biomedicine, Cedars-Sinai Medical Center

Correu electrònic verificat a cshs.org - Pàgina d'inici

Biomedical Informatics Natural Language Processing Text Mining


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	674	2015
BANNER: An executable survey of advances in biomedical named entity recognition R Leaman, G Gonzalez Pacific Symposium on Biocomputing 13, 652-663, 2008	657	2008
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	615	2015
Portable automatic text classification for adverse drug reaction detection via multi-corpus training A Sarker, G Gonzalez Journal of biomedical informatics 53, 196-207, 2015	456	2015
ChatGPT and large language models in academia: opportunities and challenges JG Meyer, RJ Urbanowicz, PCN Martin, K O’Connor, R Li, PC Peng, ... BioData Mining 16 (1), 20, 2023	428	2023
Towards internet-age pharmacovigilance: extracting adverse drug reactions from user posts to health-related social networks R Leaman, L Wojtulewicz, R Sullivan, A Skariah, J Yang, G Gonzalez Proceedings of the 2010 Workshop on Biomedical Natural Language Processing …, 2010	407	2010
Social media mining for toxicovigilance: automatic monitoring of prescription medication abuse from Twitter A Sarker, K O’Connor, R Ginn, M Scotch, K Smith, D Malone, G Gonzalez Drug safety 39 (3), 231-240, 2016	243	2016
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	213	2016
Recent advances and emerging applications in text and data mining for biomedical discovery GH Gonzalez, T Tahsin, BC Goodale, AC Greene, CS Greene Briefings in bioinformatics 17 (1), 33-42, 2016	202	2016
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text M Krallinger, M Vazquez, F Leitner, D Salgado, A Chatr-Aryamontri, ... BMC bioinformatics 12, 1-31, 2011	196	2011
Pattern mining for extraction of mentions of adverse drug reactions from user comments A Nikfarjam, GH Gonzalez AMIA Annual Symposium Proceedings 2011, 1019, 2011	193	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	182	2014
Social media mining for public health monitoring and surveillance MJ Paul, A Sarker, JS Brownstein, A Nikfarjam, M Scotch, KL Smith, ... Pacific Symposium on Biocomputing (PSB), 468-79, 2016	175	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	174	2014
Inter-species normalization of gene mentions with GNAT J Hakenberg, C Plake, R Leaman, M Schroeder, G Gonzalez Bioinformatics 24 (16), i126-i132, 2008	159	2008
Enhancing clinical concept extraction with distributional semantics S Jonnalagadda, T Cohen, S Wu, G Gonzalez Journal of biomedical informatics 45 (1), 129-140, 2012	152	2012
Capturing the patient’s perspective: a review of advances in natural language processing of health-related text G Gonzalez-Hernandez, A Sarker, K O’Connor, G Savova Yearbook of medical informatics 26 (01), 214-227, 2017	139	2017
Overview of the fourth social media mining for health (SMM4H) shared tasks at ACL 2019 D Weissenbacher, A Sarker, A Magge, A Daughton, K O’Connor, M Paul, ... Proceedings of the Fourth Social Media Mining for Health Applications …, 2019	119	2019
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	99	2018
Enabling recognition of diseases in biomedical text with machine learning: corpus and benchmark R Leaman, C Miller, G Gonzalez Proceedings of the 2009 Symposium on Languages in Biology and Medicine 82 (9 …, 2009	99	2009

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