2019
TMU-MIT Healthcare Datathon
Taipei Medical University(TMU) collaborates with Massachusetts Institute of Technology (MIT) to promote an integrative program designed to build local capacity and enhance locally sustained innovation. The program is deliberately structured to advance projects from idea to implementation.
2019 Media Coverage
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中央廣播電臺 |
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環球生技 |
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今日新聞 |
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eTV行動傳媒 |
In the past three years ...
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Nations
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Hackers
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Mentors
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Teams
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Features
MULTIDISCIPLINARY
This datathon brings together students, clinicians, data scientists and innovators to share ideas and bring theory into practice. The 3-day event allows participants to immediately apply concepts to actual projects, and work in teams to develop rapid prototypes and solve real problems. These projects may then be continued as research project or startup company.
IMPROVE HEALTHCARE
This Datathon aims to the further innovation in Risk Prediction, Disease Progression Prediction, Prognosis Prediction and Mortality Prediction to improving healthcare.
Agenda
Save your date !
Participants are required to attend for both Pre-Datathon and 3-day Healthcare Datathon.
※Note: Agenda may be subject to change.
Participants are required to attend for both Pre-Datathon and 3-day Healthcare Datathon.
※Note: Agenda may be subject to change.
Pre-Datathon
9/7
Taipei Medical University- Daan Campus B2
Taipei Medical University- Daan Campus B2
Time |
Content |
0900 - 0930 |
Registration |
0930 - 0935 |
Opening Remark |
0935 - 0940 |
Introduction to Pre-Datathon |
0940 - 1000 |
How to Download Dataset Through GCP(Google Cloud Platform) |
1000 - 1100 |
Physicians Pitch (3 min/person) |
1100 - 1200 |
Discussion |
※Note:
-Physicians will take turns to pitch their clinical challenges and be the leads for our datathon teams.
-Participants are encouraged to discuss with the physicians and fill a form to list the clinical challenges in order of preference at the end of Pre-Datathon.
-Teams will be formed by the Datathon committee according to participants' preference and announced on 9/27.
-Physicians will take turns to pitch their clinical challenges and be the leads for our datathon teams.
-Participants are encouraged to discuss with the physicians and fill a form to list the clinical challenges in order of preference at the end of Pre-Datathon.
-Teams will be formed by the Datathon committee according to participants' preference and announced on 9/27.
Datathon
9/27-9/29
Taipei Medical University- Main Campus
Xing-Chun Auditorium Building
Taipei Medical University- Main Campus
Xing-Chun Auditorium Building
Day1. 9/27
Time |
Content |
0900 - 0930 |
Registration |
0930 - 1000 |
Opening Ceremony |
1000 - 1030 |
Introduction to TMU-MIT Datathon and Mentors |
1030 - 1050 |
[ Keynote Speech ] Topic: Building Systems of Innovation Speaker: Kenneth Eugene Paik |
1050 - 1110 |
Tea Break |
1110 - 1130 |
[ Keynote Speech ] Topic: The Intersection of AI & Ethics - Managing the Life Cycle of Predictive Applications to Reduce Risk Speaker: Jennifer Jordan |
1130 - 1150 |
[ Keynote Speech ] Topic: How to Conduct a Machine Learning Project for Clinical Medicine Speaker: Wei-Hung Weng |
1150 - 1300 |
Launch |
1300 - 1330 |
Workshop Topic: MIMIC Speaker: Han Wang, National University of Singapore |
1330- 1400 |
Workshop Topic: The eICU Collaborative Research Database Speaker: Wei-Hung Weng, MIT EECS and Computer Science and AI Laboratory |
1400 - 1800 |
Hacking |
1800 - 1900 |
Dinner |
1900 - 2000 |
1st Pre-Pitch (3 min Present + 3 min Q&A) Format Fixed |
2000- |
Hacking |
DAY2. 9/28
Time |
Content |
0830 - 0900 |
Breakfast / Registration |
0900 - 0920 |
[ Keynote Speech ] Topic: AI in Healthcare: Enhancing the Efficacy and Efficiency of Interactions To The Rural World Speaker: Rani Shifron |
0920 - 0940 |
[ Keynote Speech ] Topic: Time-Limited Trials for Critically Ill Cancer Patients Speaker: Peggy Lai |
0940 - 1000 |
[ Keynote Speech ] Topic: When Machine Learning Meets Healthcare Speaker: Mengling 'Mornin' Feng |
1000 - 1200 |
Hacking |
1200 - 1300 |
Lunch |
1300 - 1500 |
Hacking |
1500 - 1600 |
2nd Pre-Pitch (3 min Present +3 min Q&A) |
1600 - 1800 |
Hacking |
1800 - 1900 |
Dinner |
1900- |
Hacking |
DAY 3. 9/29
Time |
Content |
0700 - 0800 |
Breakfast / Registration |
0800 - 0820 |
Mentors Meeting / Refresh on Evaluation Standard |
0820 - 1050 |
Pitch (5 min Pitch + 3 min Q&A) |
1050 - 1110 |
Evaluation + Questionnaire |
1110 - 1125 |
Results Announcement + Final Comments |
1125 - 1135 |
Award Ceremony |
1135 - 1145 |
Closing Ceremony |
1145 - 1200 |
Group Pictures |
※Note:
1.Access control will push between 00:00-06:00.
2.No sleeping bag will be provided, please bring your own if necessary.
3.Shower room will be available at certain time.
1.Access control will push between 00:00-06:00.
2.No sleeping bag will be provided, please bring your own if necessary.
3.Shower room will be available at certain time.
※Note: Keynote speeches are open to the public.
Keynote speeches registration link:
(已報名「2019TMU-MIT Healthcare Datathon 醫療數據松」之參賽者不需要再另外報名此系列講座)
Day 1: https://www.accupass.com/event/1907030820491391814673
Day 2: https://www.accupass.com/event/1907080700164653196780
Keynote speeches registration link:
(已報名「2019TMU-MIT Healthcare Datathon 醫療數據松」之參賽者不需要再另外報名此系列講座)
Day 1: https://www.accupass.com/event/1907030820491391814673
Day 2: https://www.accupass.com/event/1907080700164653196780
Awards
Special Awards
※Note: According to Income Tax Act, 10% of prize money over NT$20,000 is withheld for taxes. For non-resident winners, the withholding tax rate shall be in accordance with the associated regulations.
Data
※Note: All participants are required to sign NDA (Non-Disclosure Agreement)
for database download.
※Note: Database download access will be ready soon and download via GCP (Google Cloud Platform).
for database download.
※Note: Database download access will be ready soon and download via GCP (Google Cloud Platform).
The eICU Collaborative Research Database is a large multi-center critical care database made available by Philips Healthcare in partnership with the MIT Laboratory for Computational Physiology. The eICU Collaborative Research Database holds data associated with over 200,000 patient stays, providing a large sample size for research studies.
Register
2019 TMU-MIT Healthcare Datathon
STEP 1
Fill out the Registration Questionnaire . |
STEP 3
After validating your information, we'll send a confirmation E-mail and approve your purchase. ※Note: We will only approve your purchase after the final list is out. Final list of confirmed participants will be announced after registration is closed. Final list will be decided by TMU-MIT Healthcare Datathon committee.
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2019 TMU-MIT Healthcare Datathon
FAQs
Q: Can I participate?
A: If you're physicians, nurses, data scientists, data engineers, software engineers, students and innovators who are passionate about healthcare, you're welcomed to join.
A: If you're physicians, nurses, data scientists, data engineers, software engineers, students and innovators who are passionate about healthcare, you're welcomed to join.
Q: Is the event free?
A: There is a registration fee for participants. Non-Student: NT$ 2000/person. Student: NT$ 500/person. For early birds, you can get 20% off!
A: There is a registration fee for participants. Non-Student: NT$ 2000/person. Student: NT$ 500/person. For early birds, you can get 20% off!
Q: What are the categories?
A: There are 4 subjects we would like to focus on Risk Prediction, Disease Progression Prediction, Prognosis Prediction and Mortality Prediction.
A: There are 4 subjects we would like to focus on Risk Prediction, Disease Progression Prediction, Prognosis Prediction and Mortality Prediction.