Seoul National University Hospital Institute of Convergence Medicine with Innovative Technology (214 Yulgok-ro, Jongno-gu, Seoul, Republic of Korea)
The Catholic University of Korea, Songeui Campus (222 Banpo-daero, Seocho-gu, Seoul. Republic of Korea)
Eligibility
All researchers who are interested in medical data
Number of Participants
60 peoples (During the datathon, we plan to build 10 teams of 6 people each.)
Dataset
K-MIMIC, MIMIC-IV, VitalDB, INSPIRE, KMLE and various international dataset
Prizes
Grand Prize, KRW 5,000,000
Best Prize, KRW 3,000,000
Excellence Prize, KRW 2,000,000
We are looking forward to Korea Clinical Datathon 2024
Korea Clinical Datathon 2024 brings together a diverse range of participants to explore and analyze ICU and surgical data, providing insights that have the potential to revolutionize patient care and surgical outcomes.
ICU data are essential information in providing patient conditions, treatment responses, and clinical outcomes, enabling healthcare professionals to make informed decisions and tailor interventions to individual patient needs. Similarly, surgical data offers a window into the intricacies of surgical procedures, from pre-operative assessments to post-operative care, allowing for continuous improvement in surgical techniques and patient safety.
In past datathons, the focus was primarily on building models using data sets, but there was a significant issue in not adequately understanding the problems within the data sets. For this upcoming datathon, the goal is for participants to thoroughly investigate the issues in the data sets and determine how biased data can impact algorithms. By addressing these challenges, we aim to ensure that our analyses are not only robust but also equitable and accurate.
Moreover, by integrating advanced machine learning models, such as LLM (Large Language Models), into our analysis, we enhance our ability to extract meaningful insights from complex healthcare datasets.
Join us in this collaborative endeavor as we utilize the power of data and machine learning to drive innovation in critical care, surgical practices, and beyond. Together, we can harness the potential of data-driven insights to transform healthcare and improve lives around the world.
Korea Clinical Datathon History
- Korea Clinical Datathon 2019
[Pre-workshop] Aug. 31 (Sat.), 2019 / [Datathon] Sep. 20 (Fri.), 2019 – Sep. 22 (Sun), 2019 Seoul National University
- Korea Clinical Datathon 2018
[Pre-workshop] Sep. 29 (Sat.), 2018 / [Datathon] Nov. 02 (Fri.), 2018 – Nov. 04 (Sun), 2018 Seoul National University
