Explainable artificial intelligence model to predict acute critical illness from electronic health records

Explainable artificial intelligence model to predict acute critical illness from electronic health records

Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Here, the authors develop an explainable artificial intelligence early warning score system for its early detection.

Bibliographic Details
Main Authors: Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
Format: Article
Language:English
Published: Nature Portfolio 2020-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-17431-x

Internet

https://doi.org/10.1038/s41467-020-17431-x

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