Failure prediction using personalized models and an application to heart failure prediction

Failure prediction using personalized models and an application to heart failure prediction

Abstract Background To reduce disruptions of processes and the cost of maintenance, predicting the onset of failure (or a similar event) of a physical system (or components of a physical system) has become important. Prediction of onset of failure would allow appropriate corrective actions at the ri...

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Bibliographic Details
Main Authors: Asim Roy, Charles Bruce, Phillip Schulte, Lyle Olson, Manasa Pola
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Big Data Analytics
Subjects:
Machine learning
Failure prediction
Heart failure prediction
Personalized models of physical systems
Online Access:http://link.springer.com/article/10.1186/s41044-020-00044-2

Internet

http://link.springer.com/article/10.1186/s41044-020-00044-2

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