Prediction Of Clinical Status and Triaging In Mass Casualty Incidents using QoS aware Routing Protocol And Optimization Framework

dc.contributor.guide	Nayak, Ashalatha and Balachandra, Mamatha
dc.coverage.spatial	Mass Casualty Incidents
dc.creator.researcher	Olivia, Diana
dc.date.accessioned	2022-06-23T08:52:12Z
dc.date.available	2022-06-23T08:52:12Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2017
dc.description.abstract	Available
dc.description.note	Bibliography p.123-139
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	129p.
dc.identifier.uri	http://hdl.handle.net/10603/388095
dc.language	English
dc.publisher.institution	Manipal Institute of Technology
dc.publisher.place	Manipal
dc.publisher.university	Manipal Academy of Higher Education
dc.relation	No.of Reference 159
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	On-site Triaging, Disaster Management, QoS-aware Routing Protocol, Network Load Balancing, Clinical Condition Prediction, Machine Learning, Medical Resource Optimization, Multi-server Queueing Theory, Genetic Algorithm.
dc.title	Prediction Of Clinical Status and Triaging In Mass Casualty Incidents using QoS aware Routing Protocol And Optimization Framework
dc.title.alternative	-
dc.type.degree	Ph.D.