Graciela Gonzalez-Hernandez

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Karen O'ConnorSenior Data Analyst, University of PennsylvaniaEmail yang diverifikasi di pennmedicine.upenn.edu
Davy WeissenbacherResearch Data Scientist at Cedars-SinaiEmail yang diverifikasi di cshs.org
Ari Z. KleinUniversity of PennsylvaniaEmail yang diverifikasi di pennmedicine.upenn.edu
Arjun MaggeUniversity of PennsylvaniaEmail yang diverifikasi di asu.edu
Azadeh NikfarjamStanford UniversityEmail yang diverifikasi di stanford.edu
Robert LeamanStaff Scientist, NCBI/NLM/NIHEmail yang diverifikasi di nih.gov
Su GolderDepartment of Health Sciences, University of YorkEmail yang diverifikasi di york.ac.uk
Siddhartha "Sid J Reddy" JonnalagaddaGoogleEmail yang diverifikasi di berkeley.edu
Tasnia TahsinArizona State UniversityEmail yang diverifikasi di asu.edu
Ivan FloresResearch Data Scientist at Cedars-SinaiEmail yang diverifikasi di cshs.org
Ryan J UrbanowiczCedars Sinai Medical CenterEmail yang diverifikasi di cshs.org
Sean HennessyProfessor of Epidemiology, University of PennsylvaniaEmail yang diverifikasi di upenn.edu
Ehsan EmadzadehArizona State UniversityEmail yang diverifikasi di asu.edu
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CAEmail yang diverifikasi di csmc.edu
Pranoti PimpalkhuteArizona State UniversityEmail yang diverifikasi di amazon.com
Casey S. GreeneBiomedical Informatics; Center for Health AI; University of Colorado Anschutz MedicalEmail yang diverifikasi di cuanschutz.edu
Tran Cao SonProfessor of Computer Science, New Mexico State UniversityEmail yang diverifikasi di nmsu.edu
Mary Regina Boland, MA, MPhil, PhD,...Saint Vincent College, Latrobe, PA, USAEmail yang diverifikasi di stvincent.edu
Juan M. BandaStanford Health CareEmail yang diverifikasi di stanfordhealthcare.org
Trevor CohenUniversity of WashingtonEmail yang diverifikasi di uw.edu

Ikuti

Graciela Gonzalez-Hernandez

Dep. of Computational Biomedicine, Cedars-Sinai Medical Center

Email yang diverifikasi di cshs.org - Beranda

Biomedical Informatics Natural Language Processing Text Mining


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	668	2015
BANNER: An executable survey of advances in biomedical named entity recognition R Leaman, G Gonzalez Pacific Symposium on Biocomputing 13, 652-663, 2008	658	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	618	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	457	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	435	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	405	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	246	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	210	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	199	2011
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	198	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	195	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	172	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	160	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	151	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	140	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	118	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	101	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	97	2009

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