Introduction
Since 2012, the nation has successively introduced policies to promote the integrated development of health care and big data. From the "Healthy China" strategy to the "two centenary" goals, big data of health care has become an innovative need of national strategy, and the core technology and the key tools needed for national rejuvenation. In this context, the first China ECG AI Contest (CEAC), co-sponsored by School of Clinical Medicine and Institute of Data Science, Tsinghua University, and several key hospitals, came into being and was officially launched on December 20, 2018. The contest was highly valued by leaders of Tianjin Municipal Health Commission and Hebei Provincial Health Commission. The total prize money of the contest is expected to reach one million RMB.
The contest aims to promote the development of China's ECG AI and provide open source data and algorithm platforms for ECG AI researchers.
Highlights
More than15,000high-quality resting ECG records
354participating teams worldwide
Three rounds-final hackathon36hours
Application trial of contest data
The contest includes a total of 1,000 routine ECGs, with 600 records in the training set and 400 records in the test set. This contest will ensure the safety of medical data from the perspective of data security. The ECG data used in the contest has been all desensitized. The data of the training set data contains disease diagnosis annotation, and all data cannot be traced back to ensure the data security. Moreover, JD Cloud provides data security to ensure that data cannot be downloaded and leaked to protect patients' privacy. If you also want to make an algorithm model based on the real medical data of this contest, or have a product demand for contest solutions, you can submit a form to apply.
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