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The Study of Cataract Patients Through Data Mining Techniques

dc.contributor.advisorJesus, Frederico Miguel Campos Cruz Ribeiro de
dc.contributor.authorPires, Matilde Marques
dc.date.accessioned2023-02-14T16:00:55Z
dc.date.embargo2026-01-25
dc.date.issued2023-01-25
dc.descriptionInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Sciencept_PT
dc.description.abstractThe increase in life expectancy and continuous population ageing has resulted in the escalation of age-related diseases, such as cataracts, which greatly reduce people’s quality of life. This leads to additional pressure on health insurance companies, among other healthcare providers, who must make use of the available data to provide the best possible conditions to their customers while assuring controlled costs. Hence, this study aims, on the one hand, to identify the typical clinical pathway of Médis clients who undergo cataract surgery, to create a concrete cataract package with a fixed cost, and on the other, to classify clients likely to undergo this surgery. Hereupon, through the use of data mining and machine learning methods, the company can gain a deeper knowledge of its clients, the procedures done, and their cost.pt_PT
dc.identifier.tid203224280pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/149177
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPathway Analysis Modellingpt_PT
dc.subjectCataractspt_PT
dc.subjectPhacoemulsificationpt_PT
dc.subjectSequential Pattern Miningpt_PT
dc.subjectData Miningpt_PT
dc.subjectMachine Learningpt_PT
dc.subjectClassification Problempt_PT
dc.subjectImbalanced Datapt_PT
dc.titleThe Study of Cataract Patients Through Data Mining Techniquespt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.embargofct"Na sequência da entrega da minha tese de mestrado, gostaria de pedir o embargamento da mesma durante os próximos três anos. Faço este pedido uma vez que se trata de um relatório de estágio realizado para uma empresa que gostaria de manter a metodologia e principais resultados confidenciais por enquanto."pt_PT
rcaap.rightsembargoedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Ciência de Dadospt_PT

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