Predicting the survival of patients in intensive care

The Lancet Digital Health in conversation with

English - May 24, 2019 06:30 - 15 minutes - 10.6 MB
Life Sciences Science Technology technology machine learning Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: Mapping disease across lifespan

Next Episode: Health IT failures and their effect on patient 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.

Continue this conversation on social!
Follow us today at...
https://twitter.com/thelancet
https://instagram.com/thelancetgroup
https://facebook.com/thelancetmedicaljournal
https://linkedIn.com/company/the-lancet
https://youtube.com/thelancettv