Preventing exacerbation in respiratory patients by early prediction

Project Details

Term: 

Fall 2014

Students: 

Kun-Lin Tsai, Yuan-Yu Zhang, Chris Yen Chen Lo

University: 

NTHU

Presentation: 

Report: 

Customers: Public health care system (government public welfare department)
The expense on those patients is more than 3 million dollars per year (half patients compared to Diabetes, but double expense).

Goal: Establishing a prediction model for finding out exacerbators and preventing patients getting worse with following criteria:
a. A standard protocol for predicting exacerbators
b. Fast and efficient
c. Low cost: throat swab is a cheap way for sampling patients DNA.
d. Less measurements: this model is optimized with essential predictive variables
e. High accuracy: correct prediction

Application Area: