Early detection of sepsis utilizing deep learning on electronic health record event sequences

The timeliness of detection of a sepsis event in progress is a crucial factor in the outcome for the patient. Machine learning models built from data in electronic health records can be used as an effective tool for improving this timeliness, but so far the potential for clinical implementations has...

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Hauptverfasser:	Lauritsen, Simon Meyer, Kalør, Mads Ellersgaard, Kongsgaard, Emil Lund, Lauritsen, Katrine Meyer, Jørgensen, Marianne Johansson, Lange, Jeppe, Thiesson, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Applications Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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