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Predicting the survival of patients in intensive care

Predicting the survival of patients in intensive care

FromThe Lancet Digital Health in conversation with


Predicting the survival of patients in intensive care

FromThe Lancet Digital Health in conversation with

ratings:
Length:
15 minutes
Released:
May 24, 2019
Format:
Podcast episode

Description

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.
Released:
May 24, 2019
Format:
Podcast episode

Titles in the series (29)

Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health, and Diana Samuel, Senior Editor, speak to the journal’s authors to explore their research and its impact on people’s health, health care, and health policy in this regular podcast.