A
Ari Z. Klein
Researcher at University of Pennsylvania
Publications - 46
Citations - 685
Ari Z. Klein is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Social media & Medicine. The author has an hindex of 12, co-authored 34 publications receiving 401 citations. Previous affiliations of Ari Z. Klein include Software Engineering Institute.
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Proceedings ArticleDOI
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021
Arjun Magge,Ari Z. Klein,Antonio Miranda-Escalada,Mohammed Ali Al-Garadi,Ilseyar Alimova,Zulfat Miftahutdinov,Eulàlia Farré,Salvador Lima López,Ivan Flores,Karen O'Connor,Davy Weissenbacher,Elena Tutubalina,Abeed Sarker,Juan M. Banda,Martin Krallinger,Graciela Gonzalez-Hernandez +15 more
TL;DR: The Social Media Mining for Health Applications (#SMM4H) shared tasks in its sixth iteration sought to advance the use of social media texts such as Twitter for pharmacovigilance, disease tracking and patient centered outcomes.
Journal ArticleDOI
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis.
TL;DR: Whether social media (Twitter) can be used to discover cohorts of pregnant women and to develop and deploy a natural language processing and machine learning pipeline for the automatic collection of cohort information is assessed.
Proceedings ArticleDOI
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
TL;DR: An annotated corpus is presented that can be used to train machine learning systems to determine whether a tweet that mentions a medication indicates that the individual posting has taken that medication (at a specific time).
ReportDOI
Toward a Theory of Assurance Case Confidence
TL;DR: In this article, a framework for justifying confidence in the truth of an assurance case claim is presented, based on the notion of eliminative induction, the principle that confidence in a hypothesis (or claim) increases as reasons for doubting its truth are identified and eliminated.
Journal ArticleDOI
Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.
TL;DR: Evidence is found that rare health-related events are indeed reported on Twitter, and a generalizable, systematic NLP approach for collecting sparse tweets is designed and deployed for collecting such sparse data from social media.