Essays about: "Emergency medical services"
Showing result 1 - 5 of 15 essays containing the words Emergency medical services.
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1. A Decentralised Application for Storing Electronic Health Records using Blockchain Technology
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : With the systems currently used in healthcare, medical records are often centrally stored in local databases or cloud services and managed by each individual healthcare provider. Due to this, the information exchange between healthcare providers is often limited. READ MORE
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2. Cyber Security Analysis of UAVs in Emergency Medical Services
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The health sector is evolving at a rapid pace with a growing task force of health workers ready to defend us from various diseases. Emergency Medical Services(EMS) have therefore become extremely important to empower the health workers. READ MORE
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3. Artificial Intelligence in Healthcare
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : Healthcare systems play a critical role in ensuring people's health. Establishing accurate diagnoses is a vital element of this process. As sources highlight misdiagnoses and missed diagnoses as a common issue, a solution must be sought. READ MORE
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4. The Effect of Advanced Automatic Collision Notification (AACN) on Road Fatality Reduction in Sweden
University essay fromAbstract : Road traffic accidents account for approximately 1.3 million fatalities each year and are the eighth most common cause of death globally and the leading cause of death for people between the age of 15 and 29. The outcome of a collision is affected by actions taken before, during, and after the collision. READ MORE
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5. Analysis of Emergency Medical Transport Datasets using Machine Learning
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The selection of hospital once an ambulance has picked up its patient is today decided by the ambulance staff. This report describes a supervised machinelearning approach for predicting hospital selection. This is a multi-classclassification problem. READ MORE