Value of laboratory results in addition to vital signs in a machine learning algorithm to predict in-hospital cardiac arrest: A single-center retrospective cohort study.

Ryo UenoLiyuan XuWataru UegamiHiroki MatsuiJun OkuiHiroshi HayashiToru MiyajimaYoshiro HayashiDavid PilcherDaryl Jones

Published in: PloS one (2020)

In this single-center study, the machine learning model predicted IHCAs with good discrimination. The addition of laboratory values to vital signs did not significantly improve its overall performance.

Keyphrases

machine learning
cardiac arrest
artificial intelligence
big data
cardiopulmonary resuscitation
deep learning
healthcare
emergency department
acute care
adverse drug
electronic health record