Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Graciela Gonzalez-Hernandez

Showing results (1-10 of 102) with videos related to

Pageof 11
Sort By:
Journal of Biomedical Informatics|November 17, 2018
An unsupervised and customizable misspelling generator for mining noisy health-related text sourcesAbeed Sarker, Graciela Gonzalez-Hernandez
Data in Brief|September 18, 2020
An annotated data set for identifying women reporting adverse pregnancy outcomes on TwitterAri Z Klein, Graciela Gonzalez-Hernandez
Studies in Health Technology and Informatics|August 24, 2019
Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science MethodsAbeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy OutcomesAri Z Klein, Abeselom Gebreyesus, Graciela Gonzalez-Hernandez
Plos One|January 25, 2022
ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweetsAri Z Klein, Arjun Magge, Graciela Gonzalez-Hernandez
JMIR Formative Research|December 6, 2021
Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort IdentificationAri Z Klein, Karen O'Connor, Graciela Gonzalez-Hernandez
Journal of Medical Internet Research|March 5, 2020
Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and GuidelinesKaren O'Connor, Abeed Sarker, Jeanmarie Perrone, et al.
JMIR Research Protocols|August 2, 2023
The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping ReviewSu Golder, Karen O'Connor, Yunwen Wang, et al.
Journal of the American Medical Informatics Association : JAMIA|May 16, 2019
Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"Arjun Magge, Abeed Sarker, Azadeh Nikfarjam, et al.
JAMA Network Open|November 7, 2019
Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media ChatterAbeed Sarker, Graciela Gonzalez-Hernandez, Yucheng Ruan, et al.
Pageof 11

Showing results (1-10 of 102) with videos related to

Sort By:
Pageof 11
Journal of Biomedical Informatics|November 17, 2018
An unsupervised and customizable misspelling generator for mining noisy health-related text sourcesAbeed Sarker, Graciela Gonzalez-Hernandez
Data in Brief|September 18, 2020
An annotated data set for identifying women reporting adverse pregnancy outcomes on TwitterAri Z Klein, Graciela Gonzalez-Hernandez
Studies in Health Technology and Informatics|August 24, 2019
Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science MethodsAbeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy OutcomesAri Z Klein, Abeselom Gebreyesus, Graciela Gonzalez-Hernandez
Plos One|January 25, 2022
ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweetsAri Z Klein, Arjun Magge, Graciela Gonzalez-Hernandez
JMIR Formative Research|December 6, 2021
Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort IdentificationAri Z Klein, Karen O'Connor, Graciela Gonzalez-Hernandez
Journal of Medical Internet Research|March 5, 2020
Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and GuidelinesKaren O'Connor, Abeed Sarker, Jeanmarie Perrone, et al.
JMIR Research Protocols|August 2, 2023
The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping ReviewSu Golder, Karen O'Connor, Yunwen Wang, et al.
Journal of the American Medical Informatics Association : JAMIA|May 16, 2019
Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"Arjun Magge, Abeed Sarker, Azadeh Nikfarjam, et al.
JAMA Network Open|November 7, 2019
Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media ChatterAbeed Sarker, Graciela Gonzalez-Hernandez, Yucheng Ruan, et al.
Pageof 11