Graciela Gonzalez-Hernandez

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Karen O'ConnorSenior Data Analyst, University of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Davy WeissenbacherResearch Data Scientist at Cedars-SinaiPatvirtintas el. paštas cshs.org
Ari Z. KleinUniversity of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Arjun MaggeUniversity of PennsylvaniaPatvirtintas el. paštas asu.edu
Azadeh NikfarjamStanford UniversityPatvirtintas el. paštas stanford.edu
Robert LeamanStaff Scientist, NCBI/NLM/NIHPatvirtintas el. paštas nih.gov
Su GolderDepartment of Health Sciences, University of YorkPatvirtintas el. paštas york.ac.uk
Siddhartha "Sid J Reddy" JonnalagaddaGooglePatvirtintas el. paštas berkeley.edu
Tasnia TahsinArizona State UniversityPatvirtintas el. paštas asu.edu
Ivan FloresResearch Data Scientist at Cedars-SinaiPatvirtintas el. paštas cshs.org
Ryan J UrbanowiczCedars Sinai Medical CenterPatvirtintas el. paštas cshs.org
Sean HennessyProfessor of Epidemiology, University of PennsylvaniaPatvirtintas el. paštas upenn.edu
Ehsan EmadzadehArizona State UniversityPatvirtintas el. paštas asu.edu
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CAPatvirtintas el. paštas csmc.edu
Pranoti PimpalkhuteArizona State UniversityPatvirtintas el. paštas amazon.com
Casey S. GreeneBiomedical Informatics; Center for Health AI; University of Colorado Anschutz MedicalPatvirtintas el. paštas cuanschutz.edu
Tran Cao SonProfessor of Computer Science, New Mexico State UniversityPatvirtintas el. paštas nmsu.edu
Mary Regina Boland, MA, MPhil, PhD,...Saint Vincent College, Latrobe, PA, USAPatvirtintas el. paštas stvincent.edu
Juan M. BandaStanford Health CarePatvirtintas el. paštas stanfordhealthcare.org
Trevor CohenUniversity of WashingtonPatvirtintas el. paštas uw.edu

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Graciela Gonzalez-Hernandez

Dep. of Computational Biomedicine, Cedars-Sinai Medical Center

Patvirtintas el. paštas cshs.org - Pagrindinis puslapis

Biomedical Informatics Natural Language Processing Text Mining


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	675	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	616	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	454	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	430	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	406	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	242	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	201	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	173	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	158	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	138	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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