The availability of large datasets and computational power has prompted a revolution in Intensive Care. Data represent a great opportunity for clinical practice, benchmarking, and research. Machine learning algorithms can help predict events in a way the human brain can simply not process. This possibility comes with benefits and risks for the clinician, as finding associations does not mean proving causality.

ICU management based on big data

Cecconi, Maurizio
2020-01-01

Abstract

The availability of large datasets and computational power has prompted a revolution in Intensive Care. Data represent a great opportunity for clinical practice, benchmarking, and research. Machine learning algorithms can help predict events in a way the human brain can simply not process. This possibility comes with benefits and risks for the clinician, as finding associations does not mean proving causality.
2020
Benchmarking
Critical Care
Humans
Intensive Care Units
Machine Learning
Big Data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/55601
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