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Predicting the survival of patients in intensive care
Søren Brunak joins Christina Wayman, Senior Editor at The Lancet Digital Health, to discuss a machine learning model that can predict mortality of patients admitted to intensive care from both long-term disease history and baseline admission data.
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By The Lancet GroupSøren Brunak joins Christina Wayman, Senior Editor at The Lancet Digital Health, to discuss a machine learning model that can predict mortality of patients admitted to intensive care from both long-term disease history and baseline admission data.
Continue this conversation on social!
Follow us today at...
https://thelancet.bsky.social/
https://instagram.com/thelancetgroup
https://facebook.com/thelancetmedicaljournal
https://linkedIn.com/company/the-lancet
https://youtube.com/thelancettv
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