Prediction of blood culture outcome using hybrid neural network model based on electronic health records
Abstract Background Blood cultures are often performed to detect patients who has a serious illness without infections and patients with bloodstream infections. Early positive blood culture prediction is important, as bloodstream infections may cause inflammation of the body, even organ failure or d...
Main Authors: | Ming Cheng, Xiaolei Zhao, Xianfei Ding, Jianbo Gao, Shufeng Xiong, Yafeng Ren |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-07-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-020-1113-4 |
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