WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction
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https://physionet.org/content/widsdatathon2020/
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资源简介:
**WiDS (Women in Data Science)** **Datathon 2020: ICU Mortality Prediction**
focuses on patient health through data from [MIT's GOSSIS (Global Open Source
Severity of Illness Score)](https://gossis.mit.edu/) initiative. Brought to
you by the Global WiDS team, the [West Big Data Innovation
Hub](https://westbigdatahub.org/), and the [WiDS Datathon
Committee](https://www.widsconference.org/committee-2020.html), this year's
datathon is launching on Kaggle:
[bit.ly/WiDSdatathon2020kaggle](https://bit.ly/WiDSdatathon2020kaggle).
**数据科学女性(Women in Data Science, WiDS)2020年数据挑战赛:重症监护室(Intensive Care Unit, ICU)患者死亡率预测**
本赛事基于麻省理工学院(MIT)全球开源病情严重程度评分(Global Open Source Severity of Illness Score, GOSSIS)项目的数据集,围绕患者健康主题开展分析研究。本次赛事由全球WiDS团队、西部大数据创新枢纽(West Big Data Innovation Hub)与WiDS数据挑战赛组委会联合推出,本届数据挑战赛已在Kaggle平台正式上线,参赛链接为:[bit.ly/WiDSdatathon2020kaggle](https://bit.ly/WiDSdatathon2020kaggle)。
提供机构:
PhysioNet
创建时间:
2020-04-01



