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Deep Learning for Early Sepsis Detection by Mariana Nannetti is a document available to read on EtoBox.

What is Deep Learning for Early Sepsis Detection about?

This study developed and validated a deep learning model called MGP-RNN to detect sepsis using data from electronic health records. The model was trained on data from 2014-2015 and validated on internal data from that period and external temporal validation data from 2018. The MGP-RNN model outperformed other machine learning methods and clinical sepsis scores in detecting sepsis, with a C-statistic of 0.88 for detecting sepsis within 4 hours compared to 0.756-0.849 for other models. The MGP-RNN was able to

Author

Mariana Nannetti

Language

EN