Using machine learning to predict subsequent events after EMS non-conveyance decisions

Using machine learning to predict subsequent events after EMS non-conveyance decisions

Abstract Background Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was to find out whether machine learning can be used in this context and t...

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Bibliographic Details
Main Authors: Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto, Timo Iirola
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Emergency medical service
Non-conveyance
Subsequent event
Patient safety
Machine learning
Text classification
Online Access:https://doi.org/10.1186/s12911-022-01901-x

Internet

https://doi.org/10.1186/s12911-022-01901-x

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