Tentative Schedule
| 9:20AM - 9:30AM |
Welcome Message by Professor Doheon Lee at KAIST |
| 9:30AM - 10:30AM |
Keynote Address by Professor Atul Butte at Stanford
University |
| 10:30AM - 11:00AM |
Coffee Break |
| 11:00AM - 12:15PM |
Session I - Mining Clinical Data and Text (Session Chair: Professor Sael Lee at State University of New York Korea) |
| Exploring the effectiveness of Medical Entity
Recognition for Clinical Information Retrieval |
|
| Refining Health Outcomes of Interest using
Formal Concept Analysis and Semantic Query Expansion |
|
| A Prototype Application for Real-time
Recognition and Disambiguation of Clinical Abbreviations |
|
| 12:15PM - 1:30PM |
Lunch Break |
| 1:30PM - 3:00PM |
Session II - Mining Biological Data and Text (Session Chair: Professor Carlos Ordonez at University of Houston) |
| Efficient Local ligand-binding site search
using Landmark MDS |
|
| Pathway-Based Classification of Brain
Activities for Alzheimer's Disease Analysis |
|
| Bayesian Variable Selection for Linear
Regression in High Dimensional Microarray Data |
|
| 3:00PM-3:30PM | Coffee Break |
| 3:30PM-4:20PM (Session II resumes) |
BSML: Bio-Synergy Modeling Language for Multi Component Multi Target |
| BoDBES: a Boosted Dictionary-based Biomedical
Entity Spotter |
|
| 4:20PM-5:10PM |
Session III - Short Papers |
| Combining dictionaries and ontologies for
drug name recognition in biomedical texts. |
|
| Breast and Prostate Cancer Expression
Similarity Analysis by Iterative SVM Based Ensemble Gene
Selection |
|
| Document Sublanguage Clustering to Detect Medical Specialty in Cross-institutional Clinical Texts |