赛事简介
This event is jointly organized by the National University of Singapore (NUS), National University Health System (NUHS) and MIT Critical Data. , co-oirganised by Yofun Singapore Pte. Ltd. We aim to bring together clinicians, data scientists and innovators in healthcare to address current problems in healthcare with data analytics technologies. The increasing wealth of patient data available through electronic health records has created a surge in research funding and industry interest in health data analytics. Challenges in extracting knowledge from health record databases, however, are significant.The event will strengthen cross-disciplinary collaboration around secondary analysis of electronic health record data, helping to pave the way for reliable knowledge to be translated into action, for the benefit of patients. It will be an event for students, engineers and scientists from Singapore and the region.
该活动由新加坡国立大学(NUS),国立大学卫生系统(NUHS)和美国麻省理工大学(MIT)共同主办,新加坡有方人工智能教育有限公司承办。我们旨在召集大学及社会中数据科学学者、创新者以及医疗保健领域的临床医生,以通过数据分析技术解决医疗保健领域的当前问题。通过电子健康记录可获得的越来越多的患者数据财富,导致研究经费激增,并且业界对健康数据分析产生了兴趣。然而,从健康记录数据库中提取知识的挑战是巨大的,该活动将加强围绕电子健康记录数据的二次分析的跨学科合作,从而为将可靠的知识转化为行动,为患者造福铺平道路。这将是来自新加坡和该地区的学生,工程师和科学家的活动。
赛事主办方

新加坡国立大学

美国麻省理工大学

新加坡国立大学卫生系统

默克医药集团
赛事承办单位

新加坡有方国际
(承办方)
时间安排
18 July 2019: Technical Workshops
Four parallel technical/hands-on workshops on applications of AI in Healthcare
19 July 2019: Healthcare AI Seminar
One-day Healthcare AI technical seminar that will be featuring speakers from NUS, MIT, UIUC, AI Singapore, MSD, Google, Philips, Ping An (China), etc.
19-21 July 2019: Healthcare AI Datathon (NUS Saw Swee Hock School of Public Health)
A data-centric hackathon — Datathon — expecting 20 cross-disciplinary teams with a mixture of physicians, data scientists, students, entrepreneurs, etc. We have three different tracks this year:
Track 1: AI for Critical Care: supported by clinical data from over 200K ICU patients from US hosted on Google Cloud
Track 2: AI for General Care: supported by synthetic EMR data from NUH hosted on Google Cloud
Track 3: AI for Medical Imaging: supported by two image datasets hosted on both the DGX-1 machines from NSCC and TPU from Google Cloud
2019年7月18日:技术研讨会
关于AI在医疗保健中的应用的四个平行的技术/实践研讨会
2019年7月19日:医疗保健AI研讨会
为期一天的医疗保健AI技术研讨会,来自新加坡国立大学(NUS),麻省理工学院(MIT),伊利诺伊大学厄巴纳-香槟分校(UIUC),新加坡人工智能,默克医药集团(MSD),谷歌(Google),飞利浦(Philips),平安(中国)等的演讲者
2019年7月19日至21日:医疗保健AI Datathon(国大苏瑞福公共卫生学院)
以数据为中心的黑客马拉松— Datathon —期望由医生,数据科学家,学生,企业家等组成的20个跨学科团队。今年,我们有三种不同的方法:
专题1:重症监护AI:由Google Cloud托管的来自美国的20万ICU患者的临床数据提供支持
专题2:用于一般护理的AI:由Google Cloud托管的NUH的合成EMR数据支持
专题3:医学影像AI:受NSCC DGX-1机器和Google Cloud TPU托管的两个图像数据集的支持
赛事地点
主赛场:新加坡国立大学(NUS)
2021赛事颁奖地点待定
参赛队伍
Data scientists, data engineers, software engineers and students who are passionate about healthcare analytics, who are open to collaborate with like-minded people from a different discipline, who are energetic and fun!
对医疗分析充满热情的数据科学家,数据工程师,软件工程师和学生,愿意与充满活力和乐趣的来自不同学科的志同道合的人合作!