UNCOVER COVID-19 Challenge

此為kaggle 資料集，原始資料來源請見以下連結

Challenge Description The Roche Data Science Coalition (RDSC) is requesting the collaborative effort of the AI community to fight COVID-19. This challenge presents a curated collection of datasets from 20 global sources and asks you to model solutions to key questions that were developed and evaluated by a global frontline of healthcare providers, hospitals, suppliers, and policy makers.

Data and Resources

uncover.zipZIP
Accessing the Data Datasets have been made available on Kaggle and are...
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Additional Info

Field	Value
Source	https://www.kaggle.com/roche-data-science-coalition/uncover
Last Updated	October 11, 2020, 07:13 (CST)
Created	April 10, 2020, 10:35 (CST)
維護窗口	datamarket@narlabs.org.tw

推薦資料集：

歷年50-69歲民眾最近兩年內接受大腸癌篩檢率

Payment instrument Free

Update frequency Irregular

資料來源：本署癌症篩檢資料庫，篩檢統計至2014.02.08。備註：1.篩檢率計算方式：近2年曾接受過大腸癌篩檢人數 / 當年12月50-69歲人口數。 2.2010年起，全面提供50-69歲民眾2年1次糞便潛血檢查。 Source：Cancer Screening Database, HPA. Data by February, 8, 2014....