Abstract Details
|
Activity Number:
|
62
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Mental Health Statistics Section
|
|
Abstract #313126
|
View Presentation
|
|
Title:
|
Prediction Model for Multimodal Brain Imaging
|
|
Author(s):
|
Seonjoo Lee*+
|
|
Companies:
|
Columbia University
|
|
Keywords:
|
functional data analysis ;
prediction ;
brain imaging
|
|
Abstract:
|
A mental health diagnosis is mainly based on the individual physician's assessment and there is no laboratory test to specifically diagnose mental illness. Our goal is to build a step towards a systematic diagnostic tool by utilizing the multimodal brain imaging. We consider prediction models in a functional data analysis paradigm that offers an improved way of mapping brain structure, function, and metabolism on clinical outcomes of mental disorders. Our method can detect underlying relationship between various aspect of brain and clinical outcomes among obsessive-compulsive disorder (OCD) patients.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.