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Optimisation of a Machine Learning algorithm applied to detection of cancer-associated ﬁbroblasts

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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutora: Núria Gavara Casas

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The activation of certain cells, such as ﬁbroblasts, with the appearance of cancer has been studied and established. In order to accelerate and cheapen breast cancer diagnosis the optimisation of machine learning algorithms can be a powerful tool. Using two diﬀerent data sets we studied the performance of diﬀerent machine learning algorithms. We also studied the relevance of the diﬀerent studied parameters, which could lead to some relevant biomedical conclusions. Further, we discuss the results obtained and discuss key aspects for improving the analysis of such experiments, as well as future directions for the use of Machine Learning in research against cancer

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Optimisation of a Machine Learning algorithm applied to detection of cancer-associated ﬁbroblasts