Generative Adversarial Network based machine for fake data generation
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hdl:2117/182838
Tipus de documentProjecte Final de Màster Oficial
Data2019-10-09
Condicions d'accésAccés obert
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Abstract
This paper introduces a first approach on using Generative Adversarial Networks (GANs) for the generation of fake data, with the objective of anonymizing patients information in the health sector. This is intended to create valuable data that can be used both, in educational and research areas, while avoiding the risk of a sensitive data leakage. For this purpose, firstly a thorough research on GAN’s state of the art and available databases has been developed. The outcome of the project is a GAN system prototype adapted to generate raw data that imitates samples such as users variable status on hypothyroidism or a cardiogram report. The performance of this prototype has been checked and satisfactory results have been obtained for this first phase. Moreover, a novel research pathway has been opened so further research can be developed.
MatèriesNeural networks (Computer science), Medical care, Artificial intelligence, Xarxes neuronals (Informàtica), Serveis sanitaris, Intel·ligència artificial
TitulacióMÀSTER UNIVERSITARI EN ENGINYERIA INDUSTRIAL (Pla 2014)
Col·leccions
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tfm-esteban-piacentino.pdf | 5,875Mb | Visualitza/Obre |