​
Login / Signup
SMM4H@AMIA
2017
2017
2017
Keyphrases
Publications
2017
Chen-Kai Wang
,
Nai-Wun Chang
,
Emily Chia-Yu Su
,
Hong-Jie Dai
NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task.
SMM4H@AMIA
(2017)
Robert Pless
,
Rebecca Begtrup
,
Lulwah Alkulaib
,
Samsara N. Counts
,
James Harnett
,
Justine-Louise Manning
,
Hong Xuan
,
David A. Broniatowski
Recognizing Images of Eating Disorders in Social Media.
SMM4H@AMIA
(2017)
Svetlana Kiritchenko
,
Saif M. Mohammad
,
Jason Morin
,
Berry de Bruijn
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake.
SMM4H@AMIA
(2017)
Maryam Zolnoori
,
Timothy B. Patrick
,
Kin Wah Fung
,
Paul A. Fontelo
,
Anthony Faiola
,
Yi Shuan Shirley Wu
,
Kelly Xu
,
Jiaxi Zhu
,
Christina E. Eldredge
Development of an Adverse Drug Reaction Corpus from Consumer Health Posts for Psychiatric Medications.
SMM4H@AMIA
(2017)
Sifei Han
,
Tung Tran
,
Anthony Rios
,
Ramakanth Kavuluru
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter.
SMM4H@AMIA
(2017)
Fu-Chiang Tsui
,
Lingyun Shi
,
Victor Ruiz
,
Amie D. Barda
,
Ye Ye
,
Diyang Xue
,
Fan Mi
,
Uktars Jain
Detection of Adverse Drug Reaction from Twitter Data.
SMM4H@AMIA
(2017)
Arjun Magge
,
Matthew Scotch
,
Graciela Gonzalez
CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification.
SMM4H@AMIA
(2017)
Barathi Ganesh H. B.
,
R. Vinayakumar
,
M. Anand Kumar
,
K. P. Soman
NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings.
SMM4H@AMIA
(2017)
Hillol Sarker
,
Murtaza Dhuliawala
,
Nicholas Fay
,
Amar Das
vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers.
SMM4H@AMIA
(2017)
Kai Hakala
,
Farrokh Mehryary
,
Hans Moen
,
Suwisa Kaewphan
,
Tapio Salakoski
,
Filip Ginter
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter.
SMM4H@AMIA
(2017)
Maksim Belousov
,
William G. Dixon
,
Goran Nenadic
Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task.
SMM4H@AMIA
(2017)
Michael C. Smith
,
Mark Dredze
,
Sandra Crouse Quinn
,
David A. Broniatowski
Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy.
SMM4H@AMIA
(2017)
Yuki Lama
,
Dian Hu
,
Sandra Crouse Quinn
,
Amelia Jamison
,
David A. Broniatowski
Characterizing HPV Vaccine Discourse On Reddit.
SMM4H@AMIA
(2017)
Abeed Sarker
,
Graciela Gonzalez
Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017.
SMM4H@AMIA
(2017)
Ashlynn R. Daughton
,
Dasha Pruss
,
Brad Arnot
,
Danielle Albers Szafir
,
Michael J. Paul
Characteristics of Zika Behavior Discourse on Twitter.
SMM4H@AMIA
(2017)
Sarthak Jain
,
Xun Peng
,
Byron C. Wallace
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks.
SMM4H@AMIA
(2017)
Jasper Friedrichs
,
Debanjan Mahata
,
Shubham Gupta
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter.
SMM4H@AMIA
(2017)
volume 1996, 2017
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), Washington D.C., United States, November 4, 2017.
SMM4H@AMIA
1996 (2017)