Cargando…
Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks
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 essential to det...
Autores principales: | Kaewprag, Pacharmon, Newton, Cheryl, Vermillion, Brenda, Hyun, Sookyung, Huang, Kun, Machiraju, Raghu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506589/ https://www.ncbi.nlm.nih.gov/pubmed/28699545 http://dx.doi.org/10.1186/s12911-017-0471-z |
Ejemplares similares
-
Predictive Modeling for Pressure Ulcers from Intensive Care Unit Electronic Health Records
por: Kaewprag, Pacharmon, et al.
Publicado: (2015) -
Prediction Model for Hospital-Acquired Pressure Ulcer Development: Retrospective Cohort Study
por: Hyun, Sookyung, et al.
Publicado: (2019) -
Prevention of Pressure Ulcers in a Pediatric Cardiac Intensive Care Unit
por: Simsic, Janet M., et al.
Publicado: (2019) -
Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types
por: Meng, Nan, et al.
Publicado: (2016) -
Predicting the Incidence of Pressure Ulcers in the Intensive Care Unit Using Machine Learning
por: Cramer, Eric M., et al.
Publicado: (2019)