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Publication search results
found 18 matches
- 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: 12-18 - 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: 79-82 - 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: 54-58 - Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul:
Characteristics of Zika Behavior Discourse on Twitter. SMM4H@AMIA 2017: 27-31 - 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: 68-71 - 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: 59-63 - 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: 49-53 - Sarthak Jain, Xun Peng, Byron C. Wallace:
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. SMM4H@AMIA 2017: 72-75 - 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: 1-11 - Yuki Lama, Dian Hu, Sandra Crouse Quinn, Amelia Jamison, David A. Broniatowski:
Characterizing HPV Vaccine Discourse On Reddit. SMM4H@AMIA 2017: 40-41 - Arjun Magge, Matthew Scotch, Graciela Gonzalez:
CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification. SMM4H@AMIA 2017: 76-78 - 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: 42 - Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Amar Das:
vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers. SMM4H@AMIA 2017: 32-39 - Abeed Sarker, Graciela Gonzalez:
Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. SMM4H@AMIA 2017: 43-48 - 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: 64-67 - 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: 83-86 - 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: 19-26 - Abeed Sarker, Graciela Gonzalez:
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. CEUR Workshop Proceedings 1996, CEUR-WS.org 2017 [contents]
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