A New Real Time Clinical Decision Support System Using Machine Learning for Critical Care Units

A New Real Time Clinical Decision Support System Using Machine Learning for Critical Care Units

Mean arterial pressure (MAP) is an important clinical parameter to evaluate the health of critically ill patients in intensive care units. Thus, the real time clinical decision support systems detecting anomalies and deviations in MAP enable early interventions and prevent serious complications. The...

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Bibliographic Details
Main Authors: Noha Ossama El-Ganainy, Ilangko Balasingham, Per Steinar Halvorsen, Leiv Arne Rosseland
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Clinical decision support
classification
hierarchical temporal memory (HTM)
long short-term memory (LSTM)
machine learning
real time prediction
Online Access:https://ieeexplore.ieee.org/document/9220774/

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https://ieeexplore.ieee.org/document/9220774/

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