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Machine learning in tumor classification in breast cancer

Lima, Ana Sofia; Coutinho, Carolina; Machado, Raquel; Oliveira, Alexandra Alves; Faria, Brígida Mónica; Faria, Brigida Monica; Oliveira, Alexandra

Breast cancer is the primary cause of mortality among women worldwide (1). Discernible patterns can be found within the disease, presenting an opportunity for the application of machine learning (ML), garnering effective results in screening and diagnosis. Different ML algorithms were tested - Decision Tree, Deep Learning (DL), k-Nearest Neighbors (k-NN) and Naïve Bayes - to construct a predictive model allowin...


Life cycle assessment using machine learning

Gomes, Sofia; Faria, Brígida Mónica; Oliveira, Alexandra Alves; Pinto, Edgar; Rodrigues, Matilde; Vieira, Manuela; Faria, Brigida Monica

Life Cycle Assessment (LCA) is a scientific tool that allows calculating the impact of a product or service on the environment, considering the different phases from planting to transportation, commercialization, consumption, and disposal. (1) LCA requires comprehensive data collection of the inputs and outputs such as raw materials, energy, water, used chemicals and pollutants emissions at each stage of the li...


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