The project is based on the DREAM ALS Stratification Prize4Life Challenge, which aims to predict the ALS disease progression and survival probability, given some data recorded from ALS patients.
Instead of doing prediction tasks, this UROP project will focus on finding the most important attributes that worsen the progression.
1 Develop prediction algorithms 2 Develop feature extraction algorithms 3. Software implementation of the algorithms
Applicant's Learning Objectives:
1. To apply machine learning and signal processing techniques on real ALS patient data 2. To enhance programming techniques