Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU

Accurate prediction and monitoring of patient health in the intensive care unit can inform shared decisions regarding appropriateness of care delivery, risk-reduction strategies, and intensive care resource use. Traditionally, algorithmic solutions for patient outcome prediction rely solely on data...

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Bibliographic Details
Main Authors: Benjamin Shickel, Anis Davoudi, Tezcan Ozrazgat-Baslanti, Matthew Ruppert, Azra Bihorac, Parisa Rashidi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Digital Health
Subjects:
machine learning
deep learning
transfer learning
intensive care unit
electronic health records
intelligent ICU
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2021.640685/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2021.640685/full

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