Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System

OBJECTIVES: Accurate prediction of patients' length of stay is highly important. This study compared the performance of artificial neural network and adaptive neuro-fuzzy system algorithms to predict patients' length of stay in intensive care units (ICU) after cardiac surgery. METHODS: A c...

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Detalles Bibliográficos
Autores principales: Maharlou, Hamidreza, Niakan Kalhori, Sharareh R., Shahbazi, Shahrbanoo, Ravangard, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944185/
https://www.ncbi.nlm.nih.gov/pubmed/29770244
http://dx.doi.org/10.4258/hir.2018.24.2.109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944185/
https://www.ncbi.nlm.nih.gov/pubmed/29770244
http://dx.doi.org/10.4258/hir.2018.24.2.109

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