SSP: Early prediction of sepsis using fully connected LSTM-CNN model

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Rafiei, A, Rezaee, A, Hajati, Farshid, Gheisari, S and Golzan, M (2021) SSP: Early prediction of sepsis using fully connected LSTM-CNN model. Computers in Biology and Medicine, 128. ISSN 0010-4825

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/42958
DOI https://doi.org/10.1016/j.compbiomed.2020.104110
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects Current > FOR (2020) Classification > 3202 Clinical sciences
Current > Division/Research > College of Science and Engineering
Keywords Smart Sepsis Predictor; sepsis prediction; intensive care units; deep learning; electronic health records
Citations in Scopus 10 - View on Scopus
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