UROP Project Listing System
 
Project Title:
Attributes evaluation for ALS disease progression
Supervisor:WANG Yiwen
Co-Supervisor:-
Quota:2
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.
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 
 



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