SG HEALTHCARE AI
DATATHON & EXPO
Results for the Datathon
Datasets
Reminder: Teams need to apply and obtain access to the datasets they intend to use before the datathon.
1. Electrical Medical Records Datasets
During the datathon, teams will have access to 3 de-identified EMR datasets. Teams may choose to use one or all of these datasets to answer their clinical questions. In particular, these three datasets are: 1) the Medical Information Mart for Intensive Care (MIMIC)-IV Database from Physionet 2) the Philips eICU Collaborative Research Database (https://eicu-crd.mit.edu/). These three databases share similar data schemas. They contain hourly physiologic readings from bedside monitors, validated by ICU nurses. They also contain records of demographics, labs, nursing progress notes, discharge summaries, IV medications, fluid balance, and other clinical variables.
MIMIC-IV Dataset
Introduction & Access Application: https://mimic-iv.mit.edu/
Github repository: https://github.com/MIT-LCP/mimic-iv
Documentation: https://mimic-iv.mit.edu/docs/
When using this resource, please cite:
Johnson, A., Bulgarelli, L., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2020). MIMIC-IV (version 0.4). PhysioNet. https://doi.org/10.13026/a3wn-hq05.
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
eICU-CRD Dataset
Introduction & Documentation: https://eicu-crd.mit.edu/about/eicu/
Github repository: https://github.com/mit-eicu/eicu-code
Example code: https://github.com/mit-eicu/eicu-code/blob/master/concepts/icustay_detail.sql
When using this resource, please cite:
Pollard, T., Johnson, A., Raffa, J., Celi, L. A., Badawi, O., & Mark, R. (2019). eICU Collaborative Research Database (version 2.0). PhysioNet. https://doi.org/10.13026/C2WM1R.
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
We had 50 teams with close to 500 physicians and data scientists from more than 10 regions that joined us in our 2020 event!
Champion and Crowd's Favourite
Team 01: An AI method to help intensivists optimize ventilation settings
Liu Siqi, Lan Xiang, Liu Zhuo, Xu Zhuoyang, Li Yanxuan, Liesel Fong, See Kay Choong
First Runner-up
Team 14: Best Antibiotics Empirically
Dang Trung Kien, Ke Yuhe, Nicholas Brian Shannon, Muhammad Jarir Kanji, E V S Ravishankar, Li Chenyu, Lee Mei Teng, Hairil Abdullah
Second Runner-up
Team 29: Domain Shift Problem in Deep Learning based Chest X-ray Diagnosis AI Models
Shan Lin, Yufei Wang, Siyuan Yang, Ling Li, Rahul Ahuja
Best Presentation Award
Team 21: Vital Sign Triage Alert - in-hospital Cardiac Arrest Prediction Score
Chien-Chang Lee, Chien-Hung Li, Hong-Jie Jhou, Hsin-Ying Lee, Ke-Ying Su, Po-Huang Chen, Cho-Hao Lee, I-Ju Wu, Po-Chih Kuo
Best Potential Award
Team 36: To Use Basic Electronic Data to Predict Prolonged Ventilation
Sing Chee Tan, Vlada Rozova, Shilpa Veerappa, Ryo Ueno, Douglas Pires, Vinodh Nanjayya, Jing Hui Liu, Carl Xing
Finalist
Team 07: Does the use of chest X-ray improve the prediction ability of extubation failure using deep neural networks?
Goto Tadahiro, Dohi Eisuke, Fukuchi Kiyoyasu, Kasugai Daisuke, Miyamoto Yoshihisa, Ohbe Hiroyuki, Osawa Itsuki, Satake Shunya, Tamoto Mitsuhiro, Yamada Naoki, Yoshikawa Keisuke
Finalist
Team 47: Early Prediction of MV Requirement by Deep Learning Model
Young Seok Jeon, Jung Hwa Lee, Seungmin Baik, Seung Won Lee, Seojeong Shin, Doyeop Kim, Chioh Song, Cinyoung Hur, Geun U Park, Haneol Lee
Finalist
Team 31:
Chunhui He, Xin Jin, Tao Bu, Xiaofang Ye, Wenchun Xia, Ting He, Mingyue Liu
Finalist
Team 34: AI in Medical Imaging - Development of Defense System in Preventing Adversarial Attack
Daniel Ting, Wei Yan Ng, Dinesh Gunasekeran, Yong Liu, Xin Xing Xu, Yan Yu Xu, Gilbert Lim, Shihao Zheng, Dinh Linh, Rick Goh
Finalist
Team 49: Better Intubation Timing in Sepsis
Jiang Shengmao, Yang Xiao, Hu Chang, Hao Fangbin, Liu Xiaoli, Li Bowen, Ma Chenbin, Wu Di, Stacy Xu
SINGAPORE HEALTHCARE AI DATATHON AND EXPO 2021