Friday, November 12, 2010

9:00	Opening of IDAMAP Workshop
	Kirk T. Phillips, Stephen Swift
9:15	Invited presentation
	Riccardo Bellazzi Standing on the Shoulders of Giants: the Contributions of Mario Stefanelli and Marco Ramoni to Knowledge-Based Data Analysis
10:00	Paper session: Classification (Chair: Steven Swift)
***	S. Ceccon, D. Garway-Heath, D. Crabb, A. Tucker Investigations of Clinical Metrics and Anatomical Expertise with Bayesian Network Models for Classification in Early Glaucoma
***	Manabu Torii, Zhang-Zhi Hu, Hongfang Liu Word Pair Features for MEDLINE Document Classification
***	Mihail Popescu, Abhishek Mahnot Early Illness Recognition in Older Adults Using In-Home Monitoring Sensors And Multiple Instance Learning
	Break
11:15	Paper session: Biological Data Mining & Knowledge Discovery (Chair: Kirk T. Phillips)
***	Francesca Mulas, Lan Zagar, Lucia Sacchi, Silvia Garagna, Maurizio Zuccotti, Blaz Zupan, Riccardo Bellazzi Development Nomograms: Prediction of Stem Cell Differentiation Stage from Genome-Wide Expression Data
***	Manuel Luque and Francisco J. Díez, Carlos Disdier A Decision Support-System for the Mediastinal Staging of Non-Small Cell Lung Cancer
*	Alexandru G. Floares, Carmen Floares y, Oana Vermesan_, Tiberiu Popa, Michael Williams , Sulaimon Ajibodez, Liu Chang-Gongz, Diao Lixiaz, Wang Jingz, Traila Nicola, David Jackson, Colin Dinneyz Intelligent Systems for Non-invasive Bladder Cancer Diagnosis and Prognosis Based on Plasma MicroRNA
12:15	Lunch - Area restaurants will be announced
1:30	Paper session Continued: Biological Data Mining & Knowledge Discovery
***	Stelios Pavlidis, Stephen Swift, Annette Payne Pathway Based Microarray Analysis, Facilitating Enzyme Compounds and Cascade Events
***	Marjan Ashtari, David Ribe, Gudrun Stenbeck, Allan Tucker Intelligent Data Analysis to Model and Understand Live Cell Time-Lapse Sequences
2:00	Inivited Presentation
	John Holmes Evolutionary Computation and Data Mining in Biomedicine: Just Another Biologically-Inspired Gimmick, or the Real Deal?
2:45	Paper session: Machine Learning in Medical Applications (Chair: Subramani Mani)
***	Subramani Mani, Yukun Chen, Tom Elasy, Warren Clayton, Joshua Denny Type 2 Diabetes Risk Forecasting from EMR Data using Machine Learning
***	Casey L. Overby, Beth Devine, Peter Tarczy-Hornoch, Ira Kalet Deriving Rules and Assertions From Pharmacogenomic Knowledge Resources In Support Of Patient Drug Response Predictions
	Break
***	Kavishwar B. Wagholikar, Vijayraghavan Sundararajan Can Modeling of Vague Modifiers in EMR Improve Medical Decision Support?
***	Hidenao Abe and Shusaku Tsumoto Finding Temporal Patterns of Medical Terms in MEDLINE Documents
*	Carl Taswell Concept Validating Methods for Maintaining the Integrity of Problem Oriented Domains in the PORTAL-DOORS System
4:30	Closing
6:00	Dinner (Thaiphoon Restaurant, 2011 S Street Northwest)

Timing of presentations:

Invited talks: 35 + 10 minutes
Long presentations (***): 15 + 5 minutes
Short presentation (*): 6 + 2 minutes
Note: Presentation times are subject to change to make adjustments during the day