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ORCIDICHI Workshops 2018: New York, NY, USA
- IEEE International Conference on Healthcare Informatics Workshops, ICHI Workshops 2018, New York, NY, USA, June 4-7, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-6777-4
- Liwei Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang
, Hongfang Liu:
Identification of Genetic Causality Statements in Medline Abstracts Leveraging Distant Supervision. 1-8 - Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee:
Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery. 9-18 - Suganya Chandrababu, Dhundy R. Bastola:
Comparative Analysis of Graph and Relational Databases using HerbMicrobeDB. 19-28 - Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Andrew Wen, Andrew H. Limper, Hongfang Liu:
Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement. 29-33 - Mayanka Chandrashekar, Rohithkumar Nagulapati, Yugyung Lee:
Ontology Mapping Framework with Feature Extraction and Semantic Embeddings. 34-42 - Hongmei Guo, Ning Zhang, Na Hong, Lixia Yao, Wenfei Duan, Zhixiong Zhang:
Characterizing Treatment Strategies of Intrahepatic Bile Duct Cancer by Literature Mining. 43-48 - Sajjad Fouladvand, Emily R. Hankosky, Darren W. Henderson, Heather Bush, Jin Chen, Linda P. Dwoskin, Patricia R. Freeman, Kathleen Kantak, Jeffery C. Talbert, Shiqiang Tao, Guo-Qiang Zhang:
Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model. 49-50 - Yunpeng Zhao, Yi Guo, Xing He, Jinhai Huo, Yonghui Wu, Xi Yang, Jiang Bian:
Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. 51-52 - Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang:
Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter. 53-54 - Jianhong Luo, Jingcheng Du, Cui Tao, Hua Xu, Yaoyun Zhang:
Exploring Temporal Patterns of Suicidal Behavior on Twitter. 55-56 - Xinyuan Zhang, Rui Duan, Jingcheng Du, Jing Huang, Yong Chen, Cui Tao:
Comparing Pharmacovigilance Outcomes Between FAERS and EMR Data for Acute Mania Patients. 57-59 - Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Tao:
Term Standardization and Normalization for Research Domain Criteria (RDoC). 60-61 - Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
Predicting Practice Setting Using Topic Modeling. 62-63 - Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. 64-65 - David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. 66-67 - Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang:
Chinese Clinical Entity Recognition via Attention-Based CNN-LSTM-CRF. 68-69 - Liang Yao, Chengsheng Mao, Yuan Luo:
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. 70-71 - Yu Zhang, Xuwen Wang, Liu Shen, Zhen Hou, Zhen Guo, Jiao Li:
Identifying Adverse Drug Reactions of Hypolipidemic Drugs from Chinese Adverse Event Reports. 72-73 - Xin Zhou, Hongfang Liu, Yanshan Wang:
A Comparison of Lifestyle Interventions for Alzheimer's Disease Extracted from Clinical Notes and Literature. 74-75 - Matthew J. Cook, Lixia Yao, Xiaoyan Wang:
A Natural Language Processing Approach to Acquire Accurate Health Provider Directory Information. 76-77 - Chunhua Weng, Carol Friedman, Casey A. Rommel, John F. Hurdle:
A Two-Site Survey of Medical Center Personnel's Willingness to Share Clinical Data for Research: Implications for Reproducible Health NLP Research. 78-79 - Yaoyun Zhang, Firat Tiryaki, Min Jiang, Hua Xu:
Parsing Clinical Text: How Good are the state-of-the-art Deep Learning Based Parsers? 80-81 - Manoj Reddy, V. G. Vinod Vydiswaran:
Towards Identifying Peer Expertise in Online Health Forums. 82-83 - Son Doan, Elly W. Yang, Sameer Tilak, Manabu Torii:
Using Natural Language Processing to Extract Health-Related Causality from Twitter Messages. 84-85 - Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. 86-87 - Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
Problem List Clustering for Improved Patient-Based Disease Perception. 88-89
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