DIMACS Working Group on Data Mining and Epidemiology
Second Meeting, March 18-19, 2004
DIMACS Center, CoRE Building, Rutgers University
- Organizers:
- James Abello, DIMACS, abello@dimacs.rutgers.edu
- Graham Cormode, DIMACS, graham@dimacs.rutgers.edu
- Kenton Morgan, University of Liverpool, k.l.morgan@liverpool.ac.uk
- David Ozonoff, Boston University, dozonoff@bu.edu
Presented under the auspices of the Special Focus
on Computational and Mathematical Epidemiology.
Workshop Program:
Thursday, March 18, 2004
8:00 - 8:50 Breakfast and Registration - CoRE Building - 4th floor
8:50 - 8:55 Welcome and Opening Remarks
Brenda Latka, DIMACS Associate Director
8:55 - 9:05 Opening Remarks:
James Abello, and Graham Cormode, DIMACS, Rutgers University
9:05 - 9:45 Biostatistical Challenges in Molecular Epidemiology
William Shannon, Washington University
9:45 - 10:00 Coffee Break-Discussion
10:00 - 10:50 Data Mining Overview
Dave Madigan, Rutgers University
10:50 - 11:00 Coffee Break - DIMACS Lounge
11:00 - 11:25 Perspectives on Automated Methods for
Pharmacovigilance Signal Detection
A. Lawrence Gould and Peter K. Honig, Merck Research Laboratories
11:25 - 11:50 Pattern Analysis and Data Mining Efforts of the National
Plant Diagnostic Network for Early Detection of Infectious
Crop Disease and Pest Outbreaks
Carla Thomas, University of California
Leonard Coop, and Hang-Kwang Luh, Oregon State University
11:50 - 12:15 Observational Data Sets in Veterinary Epidemiology,
The Challenges for New Data Mining Techniques
Kenton Morgan, University of Liverpool, UK
12:15 - 1:45 Lunch - DIMACS Lounge
1:45 - 2:10 Retooling Propensity ScoreTechniques with Machine Learning
for Evaluating Solutions to the Los Angeles Drug Abuse Epidemic
Greg Ridgeway, The Rand Corporation
2:10 - 2:35 Finding Interactions and Assessing Variable Importance in SNP
Association Studies
Ingo Ruczinski, Johns Hopkins University
2:35 - 3:00 Coffee Break-Discussion - DIMACS Lounge
3:00 - 3:25 Case-Control Surveillance Methods
Michael N. Cook, Merck Research Laboratories
3:25 - 3:50 The Generalized Contingency Table, its Concept Lattice and
Connections with 2x2 Tables
Dave Ozonoff, Boston University and Alex Pogel, New Mexico State University
3:50 - 4:15 The Exploration of Spatial Data Mining (and Mind Mining)
to model the risk of Emerald ash borer (EAB)
(Agrilus planipennis) and its likely spread
from current areas of infestation
Bill Smith, USDA Forest Service
4:15 - 4:30 Coffee Break/Working Groups - DIMACS Lounge
4:30 - 4:50 Epidemiological Factors of Survival Time for Cancer Patients Discovered
via SVM Learning Classification Method: An Experimental Study on SEER Data
Ilya Muchnik and Jixin Li, DIMACS, Rutgers University
4:50 - 5:10 Graph Theoretical Methods in Epidemiology
James Abello, DIMACS- Rutgers University
5:10 - 6:30 Working Groups Discussions
6:30 - 8:30 Dinner - Reception - DIMACS Lounge
8:30 Van to the Hotel
Friday, March 19, 2004
8:00 - 8:50 Breakfast and Registration - CoRE Building - 4th floor
8:50 - 9:05 Introductory Remarks
James Abello, Graham Cormode, DIMACS, Rutgers University
9:05 - 10:00 Association Rule Mining of Biological Data Sets
Tomasz Imielinski, Rutgers University
10:00 - 10:20 Capture and Use of Free Text Information for Tracking Disease Outbreaks
Lynette Hirschman, The MITRE Corporation
10:20 - 11:45 Working Groups Discussions and Report Preparation
11:45 - 12:30 Descriptive Epidemiology for Data Miners
Dona Schneider, Rutgers University
12:30 - 1:45 Lunch - DIMACS Lounge
1:45 - 2:45 Working Groups Presentations
2:45 - 3:30 Discussion and Future Plans
3:30 - 3:45 Closing Remarks
4:30 Van to the Hotel
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Document last modified on March 12, 2004.