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About Machine Learning For Early Detection of Sepsis - An Internal and Temporal Validation Study
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 detect sepsis a median of 5 hours in advance.
Detailed Information
| Author: | ['Mariana Nannetti'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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