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3 DAMO Academy Technologies to Fight COVID-19: Alibaba Cloud DAMO Epidemic Prediction

Monday, Mar. 23, 2020 | 2:00 PM - 2:30 PM UTC+8

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Overview

Alibaba Cloud DAMO Epidemic Prediction service estimates epidemic characteristics of a particular disease, in this case, COVID-19, such as epidemic size, peak time, and lasting days. It also predicts the spreading trend of a disease in a particular region, including the predictions of active infected/cured /deceased/critical cases.

It provides sensitivity test under three different conditions as well: optimistic, neutral, and pessimistic to show different prediction results. The three conditions are determined by different public healthcare policies and social status.

And, provide reference to policy makers with regard to infection prevention and control, medical resource allocation, border control and travel advisory; indicate the risk of virus outbreak and/or input from other regions.

Learn More at https://www.alibabacloud.com/solutions/health-epidemic-prediction

Topics

  • Chapter 1: Highlights
  • Chapter 2: Key functions
  • Chapter 3: How it works
  • Chapter 4: Performances
  • Chapter 5: How to use
  • Demo: Figures and DataV large screen

Speaker(s)

  • Ying Chi

    Director of Healthcare Intelligence, AI Center, DAMO Academy

    Dr. Ying Chi is a PhD graduate from the Bioengineering dept. of Imperial College London, UK, followed by a 2-year postdoc research in Institute of BioMedical Engineering of University of Oxford, UK. Prior to Alibaba DAMO Academy, she was the Head of Medical AI China Team in Siemens Healthineers.

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