Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks

Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks

Abstract Background Outcome prediction is important in the clinical decision-making process. Artificial neural networks (ANN) have been used to predict the risk of post-operative events, including survival, and are increasingly being used in complex medical decision making. We aimed to use ANN analy...

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Bibliographic Details
Main Authors: Ana Lopez-de-Andres, Valentin Hernandez-Barrera, Roberto Lopez, Pablo Martin-Junco, Isabel Jimenez-Trujillo, Alejandro Alvaro-Meca, Miguel Angel Salinero-Fort, Rodrigo Jimenez-Garcia
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Medical Research Methodology
Subjects:
Major lower extremity amputation
Type 2 diabetes
Charlson Comorbidity Index
Elixhauser Comorbidity Index
In-hospital mortality
Artificial neural networks
Online Access:http://link.springer.com/article/10.1186/s12874-016-0265-5

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http://link.springer.com/article/10.1186/s12874-016-0265-5

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