ACM 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2017)

– Presentations: Full paper: 25 minutes / Poster: 5 minutes
– For poster authors, please prepare a 5 min-presentation instead of conventional posters.

08:30-08:45Welcome message:
Prof. Doheon Lee (KAIST)
Session 1 – Biomedical Knowledge Discovery from Social Media
chair: Prof. Min Song (Yonsei Univ.)
08:45-09:10Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Extraction
09:10-09:35Identifying Tweets of Personal Health Experience through Unsupervised Feature Learning and LTSM
09:35-10:00Automatic Extraction of Informal Topics from Online Suicidal Ideation
10:00-10:30Coffee break
Session 2 – Biomedical Application of Big Knowledge Analysis
chair: Dr. Hyojung Paik (KISTI)
10:30-10:55An analysis of the relation between drug structure and side effect
10:55-11:20COEXsim: A Network Similarity for Coexpression Network Analysis
11:20-11:45A systematic approach to identify therapeutic effects of natural products based on human metabolite information
11:45-12:10Identification of drug-target interaction by a random walk with restart method on an interactome network
12:10-13:30Lunch (on your own)
13:30-14:10Keynote speech:
Dr. Anthony Tung (NUS) - Readpeer: A System for Collaborative Annotation of Hospital Discharge Summaries
chair: Dr. Pauline NG
Session 3 – Biomedical Modeling and Prediction
chair: Dr. Pauline NG
14:10-14:35Evaluation of Pooling Operations in Convolutional Architectures for Drug-Drug Interaction Extraction
14:35-15:00In silico prediction of potential chemical reactions mediated by human enzymes
15:00-15:30Coffee break
15:30-16:00Session 4 - Poster Session
chair: Prof. Sangwoo Kim (Yonsei Univ.)
16:00Closing remarks:
Prof. Sangwoo Kim (Yonsei Univ.)