Table of Contents

• Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text RecordsTak-Sung Heo, Chulho Kim, Jeong-Myeong Choi, Yeong-Seok Jeong, Yu-Seop Kim. 1-6 [doi]
• Multiple Sclerosis Severity Classification From Clinical TextAlister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi. 7-23 [doi]
• BERT-XML: Large Scale Automated ICD Coding Using BERT PretrainingZachariah Zhang, Jingshu Liu, Narges Razavian. 24-34 [doi]
• Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge SummariesXiyu Ding, Mei-Hua Hall, Timothy Miller. 35-40 [doi]
• Information Extraction from Swedish Medical Prescriptions with Sig-Transformer EncoderJohn Pougue Biyong, Bo Wang 0034, Terry J. Lyons, Alejo J. Nevado-Holgado. 41-54 [doi]
• Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity ExtractionSankaran Narayanan, Kaivalya Mannam, Sreeranga P. Rajan, P. Venkat Rangan. 55-64 [doi]
• BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity RecognitionElisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Julien Knafou, Lucas Emanuel Silva e Oliveira, Jenny Copara, Yohan Bonescki Gumiel, Lucas Ferro Antunes de Oliveira, Emerson Cabrera Paraiso, Douglas Teodoro, Claudia Maria Cabral Moro Barra. 65-72 [doi]
• Dilated Convolutional Attention Network for Medical Code Assignment from Clinical TextShaoxiong Ji, Erik Cambria, Pekka Marttinen. 73-78 [doi]
• Classification of Syncope Cases in Norwegian Medical RecordsIldikó Pilán, Pål H. Brekke, Fredrik A. Dahl, Tore Gundersen, Haldor Husby, Øystein Nytrø, Lilja Øvrelid. 79-84 [doi]
• Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam QuestionsJohn Langton, Krishna Srihasam, Junlin Jiang. 85-93 [doi]
• Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical VentilationKexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall. 94-100 [doi]
• Automatic recognition of abdominal lymph nodes from clinical textYifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, YuXing Tang, Qingyu Chen 0001, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu. 101-110 [doi]
• How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD DatasetSungrim Moon, Jungwei Fan. 111-116 [doi]
• Relative and Incomplete Time Expression Anchoring for Clinical TextLouise Dupuis, Nicol Bergou, Hegler Tissot, Sumithra Velupillai. 117-129 [doi]
• MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding PretrainingZhi-Wen, Xing Han Lu, Siva Reddy. 130-135 [doi]
• Knowledge Grounded Conversational Symptom Detection with Graph Memory NetworksHongyin Luo, Shang-wen Li 0001, James R. Glass. 136-145 [doi]
• Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-ArtPatrick S. H. Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov. 146-157 [doi]
• Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical conceptsMacarious Abadeer. 158-167 [doi]
• Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification ApproachZixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf Cardinal, Sumithra Velupillai, John O'Brien, Robert Stewart 0002. 168-177 [doi]
• Weakly Supervised Medication Regimen Extraction from Medical ConversationsDhruvesh Patel, Sandeep Konam, Sai Prabhakar. 178-193 [doi]
• Extracting Relations between Radiotherapy Treatment DetailsDanielle Bitterman, Timothy A. Miller, David Harris 0004, Chen Lin, Sean Finan, Jeremy L. Warner, Raymond Mak, Guergana Savova. 194-200 [doi]
• Cancer Registry Information Extraction via Transfer LearningYan-Jie Lin, Hong-Jie Dai, You-Chen Zhang, Chung-Yang Wu, Yu-Cheng Chang, Pin-Jou Lu, Chih-Jen Huang, Yu-Tsang Wang, Hui-Min Hsieh, Kun-San Chao, Tsang-Wu Liu, I-Shou Chang, Yi-Hsin Connie Yang, Ti-Hao Wang, Ko-Jiunn Liu, Li-Tzong Chen, Sheau-Fang Yang. 201-208 [doi]
• PHICON: Improving Generalization of Clinical Text De-identification Models via Data AugmentationXiang Yue, Shuang Zhou. 209-214 [doi]
• Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual DataGeorge Michalopoulos, Helen H. Chen, Alexander Wong. 215-226 [doi]
• Learning from Unlabelled Data for Clinical Semantic Textual SimilarityYuxia Wang, Karin Verspoor, Timothy Baldwin. 227-233 [doi]
• Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical AnalyticsMiao Chen, Ganhui Lan, Fang Du, Victor S. Lobanov. 234-242 [doi]
• Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility CriteriaTirthankar Dasgupta, Ishani Mondal, Abir Naskar, Lipika Dey. 243-248 [doi]
• An Ensemble Approach for Automatic Structuring of Radiology ReportsMorteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris. 249-258 [doi]
• Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical SummariesWenjie Wang, Youngja Park, Taesung Lee, Ian Molloy, Pengfei Tang, Li Xiong 0001. 259-268 [doi]
• Advancing Seq2seq with Joint Paraphrase LearningSo Yeon Min, Preethi Raghavan, Peter Szolovits. 269-279 [doi]
• On the diminishing return of labeling clinical reportsJean-Baptiste Lamare, Oloruntobiloba Olatunji, Li Yao. 280-290 [doi]
• The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in SpanishPablo Báez, Fabián Villena, Matías Rojas, Manuel Durán, Jocelyn Dunstan. 291-300 [doi]
• Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPJohn Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz. 301-312 [doi]