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 - researchr publication

researchr

You are not signed in
Sign in
Sign up

Abeed Sarker, Graciela Gonzalez, editors, 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. Volume 1996 of CEUR Workshop Proceedings, CEUR-WS.org, 2017. [doi]

Conference: amia2017

Abstract is missing.

NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication IntakeSvetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn. 1-11 [doi]

Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine HesitancyMichael C. Smith 0001, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski. 12-18 [doi]

Development of an Adverse Drug Reaction Corpus from Consumer Health Posts for Psychiatric MedicationsMaryam Zolnoori, Timothy B. Patrick, Kin Wah Fung, Paul A. Fontelo, Anthony Faiola, Yi Shuan Shirley Wu, Kelly Xu, Jiaxi Zhu, Christina E. Eldredge. 19-26 [doi]

Characteristics of Zika Behavior Discourse on TwitterAshlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul. 27-31 [doi]

vExplorer: A Search Method to Find Relevant YouTube Videos for Health ResearchersHillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Amar Das. 32-39 [doi]

Characterizing HPV Vaccine Discourse On RedditYuki Lama, Dian Hu, Sandra Crouse Quinn, Amelia Jamison, David A. Broniatowski. 40-41 [doi]

Recognizing Images of Eating Disorders in Social MediaRobert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski. 42 [doi]

Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017Abeed Sarker, Graciela Gonzalez. 43-48 [doi]

Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on TwitterSifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru. 49-53 [doi]

Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation TaskMaksim Belousov, William G. Dixon, Goran Nenadic. 54-58 [doi]

Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in TwitterKai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter. 59-63 [doi]

Detection of Adverse Drug Reaction from Twitter DataFu-Chiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Uktars Jain. 64-67 [doi]

InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from TwitterJasper Friedrichs, Debanjan Mahata, Shubham Gupta. 68-71 [doi]

Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural NetworksSarthak Jain, Xun Peng, Byron C. Wallace. 72-75 [doi]

CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text ClassificationArjun Magge, Matthew Scotch, Graciela Gonzalez. 76-78 [doi]

NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class EmbeddingsBarathi Ganesh H. B., R. Vinayakumar, Anand Kumar M, K. P. Soman. 79-82 [doi]

NTTMU System in the 2nd Social Media Mining for Health Applications Shared TaskChen-Kai Wang, Nai-Wun Chang, Emily Chia-Yu Su, Hong-Jie Dai. 83-86 [doi]

runs on WebDSL