Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/73925
Title: Machine learning per a l'optimització d'un model epidemiològic en tuberculosi
Author: Català Sabaté, Martí
Director: Andrio Balado, Pau
Tutor: Marco Galindo, María Jesús
Others: Universitat Oberta de Catalunya
Keywords: tuberculosis
machine learning
epidemiology
Issue Date: Jan-2018
Publisher: Universitat Oberta de Catalunya
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.
Language: Catalan
URI: http://hdl.handle.net/10609/73925
Appears in Collections:Bachelor thesis, research projects, etc.

Share:
Export:
Files in This Item:
File Description SizeFormat 
mcatalasabTFM0118memoria.pdfMemoria del TFM1.68 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons