DaT Parkinson's Challenge: Developing a Parkinson's Disease Diagnostic Model
Key Facts
- Category: Programs
- Deadline: N/A
- Format: Online
- Student Level: University Students
Summary
A data science competition to develop a model for classifying DaT scans, aiding in the early detection of Parkinsonism. Prize pool of €25,000.
Details
Introduction
The DaT Parkinson's Challenge is a competition hosted by DrivenData, aiming to support the early and accurate detection of Parkinsonian syndromes. Participants will develop models capable of classifying Dopamine Transporter (DaT) scans as normal or abnormal.
The competition features a total prize pool of up to €25,000 and is co-organized by the French Society of Nuclear Medicine.
Who Should Participate
The competition is open to data scientists, programmers, and individuals with expertise in machine learning, particularly those interested in medical applications.
Benefits
- Total cash prizes up to €25,000.
- Opportunity to contribute to improving Parkinson's disease diagnosis.
- Practical experience in building and deploying machine learning models on medical data.
Requirements
- Ability to develop and train machine learning models.
- Knowledge of medical image processing and data classification.
How to Register
Detailed information on how to participate and technical requirements can be found on the official competition website.
Key Dates
The competition ends in 5 weeks from the time of announcement.