Early Detection of Bacteraemia Using Ten Clinical Variables with an Artificial Neural Network Approach

Early Detection of Bacteraemia Using Ten Clinical Variables with an Artificial Neural Network Approach

An adequate model for predicting bacteraemia has not yet been developed. This study aimed to evaluate the performance of an artificial neural network (ANN)-based prediction model in comparison with previous statistical models. The performance of multi-layer perceptron (MLP), a representative ANN mod...

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Bibliographic Details
Main Authors: Kyoung Hwa Lee, Jae June Dong, Su Jin Jeong, Myeong-Hun Chae, Byeong Soo Lee, Hong Jae Kim, Sung Hun Ko, Young Goo Song
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
bacteraemia
prediction
artificial neural network
machine learning
Online Access:https://www.mdpi.com/2077-0383/8/10/1592

Internet

https://www.mdpi.com/2077-0383/8/10/1592

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