HSI Research Meeting: Machine Learning Algorithms for Predictive Health
Presented by Wei Guan, Ph.D. Student, College of Computing
DATE: Tuesday, April 27, 2010
TIME: 10:00 AM – 11:00 AM
LOCATION: HSI Event Room
Machine learning can be used to provide powerful new medical diagnostics for detecting subtle diseases from blood or urine samples to allow the possibility of early intervention. This is particularly important for diseases such as ovarian cancer, for which effective early detection schemes do not currently exist -- the resulting last-minute detections do not leave patients many options. In this talk we will discuss our approach using machine learning with mass spectrometry and our results, which appear to be the most promising to date for ovarian cancer. We will also describe general methodology we are developing for discovering biomarkers (more understandable and less expensive early detectors) from high-throughput data such as mass spectrometry data. This work is joint with Prof. John McDonald (GT Biology), Prof. Facundo Fernandez (GT Chemistry), and Prof. Alexander Gray (GT Computing).