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Biomedical Track, Schedule and Highlights, San Diego Data Mining Confere

To: s-news@lists.biostat.wustl.edu
Subject: Biomedical Track, Schedule and Highlights, San Diego Data Mining Conference, March 29-31, San Diego, California
From: Lisa Solomon <lisas@salford-systems.com>
Date: Thu, 09 Mar 2006 07:58:19 -0800
Organization: Salford Systems (www.salford-systems.com)
User-agent: Thunderbird 1.5 (Windows/20051201)
Subject: Biomedical Track, Schedule and Highlights, San Diego Data Mining Conference, March 29-31, San Diego, California
* Conference begins at 6PM on March 29th.
* Optional Pre-Conference Training, March 27-29

Focusing on the Contributions of Data Mining to Solving Real World Challenges

2 Full Days of Case Study Presentations on March 30th and 31st.  Conference begins at 6PM on March 29th with a Welcome Reception.
 
CONFERENCE SCHEDULE
http://www.salforddatamining.com/docs/schedule06.pdf

FULL BIOMEDICAL TRACK including presentations related to Drug Discovery, Clinical Medicine, Microarrary Data Analysis, Drug Safety and Epidemiology

MINI-TUTORIALS and PRESENTATIONS
2 mini-tutorials and 13 presentations related to data mining as it applies to biostatistical and bioinformatics modeling.  Please see the detailed list of topics and presenters below.
 
PRE-CONFERENCE HANDS-ON TRAINING
March 27 - March 29, 2006
 
Network with Data Mining Experts and Pick up Pointers from Biostatistical Professionals and also from statistically-minded professionals in non-medical industries using techniques that might also be of interest in Biostatistics.

Registration: http://www.salforddatamining.com/registration.htm

If you have an interest in attending this conference or the pre-conference training, please contact Lisa Solomon:
Phone: 619-543-8880 x109, Email:  lisas@salford-systems.com
-----------------------------------------------------------------------------
Detailed Information:
 
TUTORIALS:
 
Random Forests Tutorial: Case Study Examples from Autism, Multiple Schlerosis and Microarray Data
Presenter: Adele Cutler, Co-Developer of Random Forests.
 
“Overcoming Obstacles of Publishing in Medical Journals:
Explaining the Value of Data Mining to a Resistant Audience”
Presenter: Marsha Wilcox, I3 Drug Safety, Harvard Medical School and Boston University
 
BIOSTATISTICALLY-ORIENTED PRESENTATIONS:
 
Keynote: Application of Novel Tree-Based Methods to Modeling the Genetics of Complex Disease, Finding Genotypes and Various Interactions”
Presenter: Dr. Richard Olshen, Stanford University Medical School
 
 
"MARS, CART, TreeNet/MART for Epidemiological Research: Identifying Relationships That Cannot Be Identified In Any Other Way"
Presenter: Dr. Shenghan Lai, Johns Hopkins University Medical School
 
"Combining CART, MARS, TreeNET, Neural Networks and Genetic Algorithm/Support Vector-Like Machines for Drug Discovery: The Search for Orally Effective, Non-Toxic Integrase Inhibitors for the Treatment and Possible Prevention of HIV Infection"
Presenter: Dr. Wayne Danter, Critical Outcomes Technologies
 
“Developing Predictive Models, a Comparison of Standard Regression
and Data Mining Methods: Case Studies Related to Obesity and In-hospital
Mortality, A Comparison of Data Mining Methods versus Standard
Regression Techniques (MARS vs OLS)”
Presenter: Dr. Paul Kolm, Emory University Medical School
 
"Umbilical Cord Length, Other Placental Growth Measures, Placental Weight and Birthweight"
Presenter: Dr. Carrie Salafia, Columbia University School of Public Health
 
“Classification and Regression Tree (CART) Analysis to Identify
Patients at Low-Risk for Injury Following Trauma”
Presenter: Dr. Jason Haukoos, Denver Health Medical Center
 
"Multi-level Hybrid CART-logit Models to Predict Early Childhood Caries with Individual, Family and Neighborhood Factors"
Presenter: Dr. Stuart Gansky, University of California San Francisco Dental School
 
"Drug Safety in ADHD"
Presenter: Dr. Marsha Wilcox, I3 Drug Safety and Harvard Medical School and Boston University Medical School
 
“Tissue Microarray Data: Random Forest Clustering.  A Focus on the Use of Random Forest Dissimilarities for Tumor Class Discovery and the Theoretical Properties of a Random Forest Dissimilarity”
Presenter: Dr. Steve Horvath, University of California, Los Angeles
 
"A Feature Selection Algorithm with Redundant Expressed Gene Filtering
from Microarray Data. Predictive Accuracies with Random Forests"
Presenter: Dr. Jorge Martin Arevalillo, Universidad Nacional de Educacion a Distancia, Madrid, Spain
 
 “Microarrays: Training Microarrays to Measure DNA Copy Number”
Presenter: Svetlana Shchegrova, Agilent Technologies
 
"Bird Flu, Investigations and Spatial Modeling of Bird Flu in Alaska, Russian Far East and Elsewhere: Applications of the Salford Systems Software Suite Along International Flyways"
Presenter: Dr. Falk Huettmann, University of Alaska, Centre for Wildlife Ecology
 
"Classification of the Near Infrared Spectrum by TreeNet. Case Study Related to Food Eaten in East Asia and Japan"
Presenter: Dr. Mikio Kahara, Ichinoseki National College of Technology, Japan
 
"Automatized Methods For Finding the Best Algorithm Setting for Modeling Biodiversity Data in a Spatial GIS-Setting: MARS (Multivariate Adaptive Regression Splines) and Beyond"
Presenter: Dr. Falk Huettmann, University of Alaska, Centre for Wildlife Ecology
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