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Progress using covid-19 patient data to train machine learning models for healthcare

3 April 2020 by Sean O'Neill

CCAIM Director, Professor Mihaela van der Schaar, demonstrates that machine learning techniques can accurately predict how covid-19 will impact hospital resource needs, such as ventilators and ICU beds at the individual patient level and the hospital level, enabling healthcare professionals to make well-informed decisions about how these scarce resources can be used to achieve the maximum benefit. She reveals a proof-of-concept demonstrator showing that this can be done.

Read the full story.

 

Category: COVID-19 News, News, Uncategorised
Previous Post:Responding to COVID-19 with AI and machine learning 
Next Post:Black boxes to white boxes: Solving the AI interpretability challenge

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