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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 
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MihaelaVDS avatarMihaela van der Schaar@MihaelaVDS·
12 Jan 1348965181557264384

Really looking forward to giving a keynote at @icpr2020milan tomorrow! My topic will be AutoML and interpretability: powering the machine learning revolution in healthcare. Other keynote speakers are @wellingmax, Pietro Perona, and David Doermann. Details: https://www.micc.unifi.it/icpr2020/index.php/mihaela-van-der-schaar/

Image for the Tweet beginning: Really looking forward to giving
Reply on Twitter 1348965181557264384Retweet on Twitter 134896518155726438411Like on Twitter 134896518155726438422Twitter 1348965181557264384
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