Table of Contents

• Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient MobilityDenis Newman-Griffis, Ayah Zirikly. 1-11 [doi]
• Multi-task learning for interpretable cause of death classification using key phrase predictionSerena Jeblee, Mireille Gomes, Graeme Hirst. 12-17 [doi]
• Identifying Risk Factors For Heart Disease in Electronic Medical Records: A Deep Learning ApproachThanat Chokwijitkul, Anthony N. Nguyen, Hamed Hassanzadeh, Siegfried Perez. 18-27 [doi]
• Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory NetworksIlham Fathy Saputra, Rahmad Mahendra, Alfan Farizki Wicaksono. 28-34 [doi]
• Identifying Key Sentences for Precision Oncology Using Semi-Supervised LearningJurica Seva, Martin Wackerbauer, Ulf Leser. 35-46 [doi]
• Ontology alignment in the biomedical domain using entity definitions and contextLucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar. 47-55 [doi]
• Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimizationDieter Galea, Ivan Laponogov, Kirill A. Veselkov. 56-66 [doi]
• PICO Element Detection in Medical Text via Long Short-Term Memory Neural NetworksDi Jin, Peter Szolovits. 67-75 [doi]
• Coding Structures and Actions with the COSTA Scheme in Medical ConversationsNan Wang, Yan Song, Fei Xia. 76-86 [doi]
• A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information RetrievalJonas Pfeiffer, Samuel Broscheit, Rainer Gemulla, Mathias Göschl. 87-97 [doi]
• Biomedical Event Extraction Using Convolutional Neural Networks and Dependency ParsingJari Björne, Tapio Salakoski. 98-108 [doi]
• BioAMA: Towards an End to End BioMedical Question Answering SystemVasu Sharma, Nitish Kulkarni, Srividya Pranavi, Gabriel Bayomi, Eric Nyberg, Teruko Mitamura. 109-117 [doi]
• Phrase2VecGLM: Neural generalized language model-based semantic tagging for complex query reformulation in medical IRManirupa Das, Eric Fosler-Lussier, Simon Lin, Soheil Moosavinasab, David Chen, Steve Rust, Yungui Huang, Rajiv Ramnath. 118-128 [doi]
• Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddingsDat Quoc Nguyen, Karin Verspoor. 129-136 [doi]
• Domain Adaptation for Disease Phrase Matching with Adversarial NetworksMiaofeng Liu, Jialong Han, Haisong Zhang, Yan Song. 137-141 [doi]
• Predicting Discharge Disposition Using Patient Complaint Notes in Electronic Medical RecordsMohamad Salimi, Alla Rozovskaya. 142-146 [doi]
• Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network ModelQiuyue Wang, Xiaofeng Meng. 147-150 [doi]
• SingleCite: Towards an improved Single Citation Search in PubMedLana Yeganova, Donald C. Comeau, Won Kim 0003, W. John Wilbur, Zhiyong Lu. 151-155 [doi]
• A Framework for Developing and Evaluating Word Embeddings of Drug-named EntityMengnan Zhao, Aaron J. Masino, Christopher C. Yang. 156-160 [doi]
• MeSH-based dataset for measuring the relevance of text retrievalWon Kim 0003, Lana Yeganova, Donald C. Comeau, W. John Wilbur, Zhiyong Lu. 161-165 [doi]
• CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma DrugsKaiyin Zhou, Sheng Zhang, Xiangyu Meng, Qi Luo, Yuxing Wang, Ke Ding, Yukun Feng, Mo Chen, Kevin Cohen, Jingbo Xia. 166-171 [doi]
• Prediction Models for Risk of Type-2 Diabetes Using Health ClaimsMasatoshi Nagata, Kohichi Takai, Keiji Yasuda, Panikos Heracleous, Akio Yoneyama. 172-176 [doi]
• On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain DataYaqiang Wang, Yunhui Chen, Hongping Shu, Yongguang Jiang. 177-182 [doi]
• Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical TextsLong Trieu, Nhung Nguyen, Makoto Miwa, Sophia Ananiadou. 183-188 [doi]
• Toward Cross-Domain Engagement Analysis in Medical NotesSara Rosenthal, Adam Faulkner. 189-193 [doi]