Essays about: "thesis in healthcare system"
Showing result 1 - 5 of 239 essays containing the words thesis in healthcare system.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. Development of a System Dynamic Model of Mental Healthcare Structure in Stockholm
University essay from KTH/Medicinteknik och hälsosystemAbstract : Mental illnesses are the leading cause of disability in the world today, affecting nearly a billion people including 14% of the world’s adolescents. Mental illnesses include both psychiatric conditions and inconveniences and is a broad term to describe multiple different conditions in varying severity. READ MORE
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3. A Simulation Game Approach for Improving Access to Specialized Healthcare Services in Sweden
University essay from KTH/Medicinteknik och hälsosystemAbstract : In Sweden, where a decentralized healthcare system is applied, all patients are registered at a primary healthcare center. To access most of the publicly funded specialized care clinics, patients need to be referred by a general physician at the primary healthcare center. READ MORE
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4. 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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5. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE