Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks

Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks

Abstract Background We develop predictive models enabling clinicians to better understand and explore patient clinical data along with risk factors for pressure ulcers in intensive care unit patients from electronic health record data. Identifying accurate risk factors of pressure ulcers is essentia...

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Bibliographic Details
Main Authors: Pacharmon Kaewprag, Cheryl Newton, Brenda Vermillion, Sookyung Hyun, Kun Huang, Raghu Machiraju
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Pressure ulcers
Intensive care units
Electronic health records
Bayesian networks
Model learning
Online Access:http://link.springer.com/article/10.1186/s12911-017-0471-z

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http://link.springer.com/article/10.1186/s12911-017-0471-z

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