Clinical Severity Level Prediction Based Optimal Medical Resource Allocation at Mass Casualty Incident

Controlling the mortality rate at the Mass Casualty Incident presents an increasingly important challenge for Emergency service organizations. Preparation is required by any healthcare system to minimize the loss of life and maximize casualty recovery. The literature conjectures that casualty rates...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.88970-88984
Hauptverfasser:	Olivia, Diana, Amrutha, Cynthia, Nayak, Ashalatha, Balachandra, Mamatha, Saxena, Arnav
Format:	Artikel
Sprache:	eng
Schlagworte:	Back propagation networks Casualties clinical severity level prediction Data models Electrocardiography Emergency management emergency medical service Emergency medical services genetic algorithm Identification methods Machine learning Mass casualty incidents Medical research Model accuracy Mortality Neural networks Optimization Optimization models Prediction algorithms Prediction models Predictive models queuing network Real-time systems Resource allocation triage system
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