Attributes evaluation for ALS disease progression
Project Description

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.

Supervisor
WANG Yiwen
Quota
2
Course type
UROP1100
UROP2100
Applicant's Roles

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

Complexity of the project
Challenging