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Predictive analysis of pre-hospital care ambulance services in Western Province Sri Lanka

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dc.contributor.advisor Premarathne SC
dc.contributor.author Riza PMM
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/15857
dc.description.abstract Pre-hospital care is emergency medical care provided to patients before their arrival at the hospital after activation of emergency medical services. This is a crucial element of all emergency care systems, but the needs of emergency patients must also begin early in the field. It traditionally included a range of care from spectator resuscitation to the treatment and transfer of legal emergency medical services. New concepts of care, including Emergency Medical Technicians (EMTs), emergency care practitioners, and physician-provided pre-hospital emergency medicine, are redefining the scope of pre-hospital care. The pre-hospital care data is large and exponentially growing daily in Sri Lanka. There are few researchers who have analyzed pre-hospital data such approaches are not capable of handling big data effectively and not efficient in predicting/describing the issues attached with the pre-hospital data. Hence the research has been conducted to analyze pre-hospital data efficiently to explore different issues pertaining to the pre-hospital dataset. It is hypothesized that analyzing pre-hospital dataset can be done through data mining according to the output want to achieve through predictive or descriptive techniques. The solution takes the pre-hospital dataset as the input and predicts the factors attached to the particular pre-hospital issues with its associative causes. The overall design of the research consists of two research question, one question used predictive mining based solution and the other one is based on descriptive mining. Prediction in data mining was used to predict the Triage category based on the attribute, the classification and association were used in finding the factors and their relationship that related to the attributes. Finally, the data model analysis using data mining techniques are evaluated for their performance by using accuracy, error rate, and elbow methods, etc. I hope this research approach will be useful for decision-makers and policy-makers in the Ministry of Health, Nutrition & Indigenous Medicine. en_US
dc.language.iso en en_US
dc.subject INFORMATION TECHNOLOGY-Dissertations en_US
dc.subject MEDICAL CARE-Pre-Hospitalization en_US
dc.subject MEDICAL CARE-Sri Lanka en_US
dc.subject DATA MINING-Applications en_US
dc.title Predictive analysis of pre-hospital care ambulance services in Western Province Sri Lanka en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2019
dc.identifier.accno TH4057 en_US


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