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http://hdl.handle.net/10609/73925
Title: | Machine learning per a l'optimització d'un model epidemiològic en tuberculosi |
Author: | Català Sabaté, Martí |
Tutor: | Andrio, Pau |
Others: | Universitat Oberta de Catalunya Marco-Galindo, Maria-Jesús |
Abstract: | In this work, Machine Learning techniques are used to achieve regression models of an existing epidemiological model. This model is used to predict tuberculosis evolution in a district of Barcelona (Ciutat Vella). The model was properly adjusted to the last 10 years tuberculosis data. There were determined the input and output interest parameters of the model. For each input parameter it was determined an intervals of interest. All intervals were explored using Latin Hypercube Sample technique. This sampling was used to compute multiple evaluations of the epidemiologic model. The results of the model and the sample of parameters were used to train Machine Learning models to adjust the regression models. |
Keywords: | tuberculosis machine learning epidemiology |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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mcatalasabTFM0118memoria.pdf | Memoria del TFM | 1,68 MB | Adobe PDF | View/Open |
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