Date: November 04, 2017

AMIA-2017 pre-symposium workshops.

Workshop Program (followed by full proceedings).

Start	End	Event/Title	Presenter/Authors
9:00	9:30	Introduction to the workshop	Graciela Gonzalez
9:30	10:00	Invited talk (Title: Social Monitoring of Substance Abuse)	Michael J. Paul
10:00	10:30	Coffee break
10:30	10:55	Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy [paper]	Michael C. Smith, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski
10:55	11:15	Characteristics of Zika Behavior Discourse on Twitter [paper]	Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul
11:15	11:40	Development of an Adverse Drug Reaction Corpus from Consumer Health Posts [paper]	Maryam Zolnoori, Timothy B. Patrick, Kin Wah Fung, Paul Fontelo, Anthony Faiola, Yi Shuan Shirley Wu, Kelly Xu, Christina E. Eldredge
11:40	12:00	vExplorer: A New Method to Discover Relevant YouTube Videos for Health Researchers [paper]	Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Amar Das
12:00	1:00	Lunch break
1:00	1:30	Invited Talk: Identification of Drug-Related Medical Conditions in French Patient Forums for Pharmacovigilance	Pierre Zweigenbaum, François Morlane-Hondère, Cyril Grouin
1:30	1:45	Overview of the SMM4H Shared Tasks [paper]	Abeed Sarker
1:45	2:10	NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake [paper]	Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn
2:10	2:25	Detection of Adverse Drug Reaction from Twitter Data [paper]	Fuchiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Utkars Jain
2:25	2:40	Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter [paper]	Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter
2:40	2:50	Characterizing HPV Vaccine Discourse On Reddit [abstract] (Yuki Lama)	Yuki Lama, Dian Hu, Sandra Crouse Quinn, Amelia Jamison, David A. Broniatowski
2:50	3:00	Recognizing Images of Eating Disorders in Social Media  [abstract] (Justine-Louise Manning)	Robert Pless, Rebecca Begtrup,  Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski,
3:00	3:30	Coffee break
3:30	4:30	Panel discussion	All attendees

Workshop Proceedings:

Full Papers

Maryam Zolnoori, Timothy B. Patrick, Kim Wah Fung, Paul 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. [paper]

Michael C. Smith, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski. Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy. [paper]

Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijin. NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. [paper]

Short Papers

Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul. Characteristics of Zika Behavior Discourse on Twitter. [paper]

Hillol Sarker, Murtaza Dhullawala, Nicholas Fay, Amar Das. vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers. [paper]

Abstracts

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. [paper]

Yuki Lama, Dian Hu, Sandra Crouse Quinn, Amelia Jamison, David A. Broniatowski. Characterizing HPV Vaccine Discourse on Reddit. [paper]

System Descriptions

Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter. Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. [paper]

Fuchiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Utkars Jain. Detection of Adverse Drug Reaction from Twitter Data. [paper]

Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru. Team UKNLP: Detecting ADRs, Classifying Medication In-take Messages, and Normalizing ADR Mentions on Twitter. [paper]

Maksim Belousov, William Dixon, Goran Nenadic. Using an ensemble of linear and deep learning models in SMM4H 2017 medical concept normalisation task. [paper]

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. [paper]

Sarthak Jain, Xun Peng, Byron C. Wallace. Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. [paper]

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. [paper]

Barathi Ganesh HB, Vinaykumar R, Anand Kumar M, Soman KP. NLP_CEN_AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. [paper]

Arjun Magge. CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under sampled CNN for text classification. [paper]