Call for Problem Statement, Team and Individual Participants (both physical and virtual) !!!
Finalists (Top 10): Certifications and Cash Awards
For local physical teams:
*Free registration for all students with SGD 50 (deposit) refundable upon completion of datathon
* SGD 50 for others
*The collected fee is to cover meals and tea breaks on 3rd and 4th Dec.
For overseas virtual teams
*Free registration with SGD 50 deposit per team (refundable upon completion of datathon)
This year our datathon will be running in hybrid mode. All the participants in Singapore will be attending physically, and overseas teams are welcome to join online too!
Same as previous years, our healthcare AI datathon is to cultivate collaborations between healthcare and data science experts. We encourage each cross-disciplinary team to propose a problem statement addressing an actual clinical pain point. Teams are tasks to produce some preliminary results to validate the feasibilities and clinical impact of their proposed solution over the period of the datathon. The organizers will be providing a number of real-world datasets, covering a wide spectrum of healthcare data ranging from Electronic Medical Records, Clinical Text to Medical Images (Details can refer to the Data page). The organizers will also support the teams with certain computational powers through cloud services. The best teams stand a chance to win up to SGD 20,000 cash and credit prizes.
Start: 1 Sep to 15 Nov 2022
- Abstract (Problem Statment) submission with initial team members (if any)
- Data scientists/machine learning experts registration (matching will start once abstracts are selected)
Problem Statement Selection: 15 Nov to 25 Nov 2022
- Abstract (Problem Statement) Selection: to be announced by 25 Nov 2022
Datathon: 2 to 4 Dec 2022
Final Presentation & Judging: 4 Dec 2022
The following are the rules for the datathon and team forming:
1. Each team MUST have at least one clinical team leader. The clinical team leader will have to submit the problem statement (abstract) by 15 Nov 2022.
2. All the abstracts will be reviewed by our scientific mentors. Judging based on the novelty and impact of the proposed problem statement, the selected abstracts and teams will be informed by 25 Nov 2021.
3. NOTE: Teams should NOT reuse project problem statements that they have previously published or have been already working on for a long time. Teams are encouraged to propose new problem statements for the datathon. A declaration is needed during registration.
4. Each team will be at least 2 and at most 8 members. For an effective team, we recommend the team should contain a number of healthcare experts, data engineers familiar with SQL to extract data and data scientists that can build predictive or statistical models.
5. All team members need to apply and obtain access to the datasets that they intend to use before the start of the datathon. To be fair, teams are only allowed to use the public datasets that the event supports.
For teams in Singapore (physical participation)
1. All teams need to attend the datathon in person
2. Clinical/data science team leaders can submit their abstract with their own team members (fully formed or partially form), or they are welcome to participate as an individual. For individual team leaders, if their abstract is selected, we will match them with registered data scientists to form their team in the evening of 2 Dec 2022.
3. Individual members are welcome to register. There will be a team matching session in the evening of 2 Dec 2022.
4.All shortlisted team will need to prepare a 5 minute presentation in the evening of 4 Dec 2022 for the final judging.
For overseas (online) teams
1. The clinical or data science team leader please submit your problem statement along with your team member information. There will NOT be team member matching sessions for virtual teams.
2. All online teams will need to submit their pre-recorded presentation video (no more than 5 minutes) and upload it on Microsoft Team "Final Video Submission" channel by 6PM 4 Dec 2022 (Singapore time). No or late submission will be automatically disqualified!
Clinical Relevance and Impact: how your solution may influence or improve the current healthcare practice
Method Novelty: NOT complexity!
Team's Plan for Moving Forward