Data Science for predicting SARS-CoV-2 mortality
Maria Francesca Turco
Data Science for predicting SARS-CoV-2 mortality.
Rel. Roberto Fontana. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2022
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Abstract
It has been a little over two years since all of our lives were completely changed after a new, as yet unidentified strain of coronavirus spread to all parts of the world. With the diffusion of the SARS-CoV-2 pandemic, the scientific community took immediate action to first sequence the virus and find drugs that could adequately treat those affected, and then switch to vaccines to prevent the spread of the disease. Data Science, which has proven to be very reliable in the medical field, played its role in the fight against this pandemic. Using Data Science to predict the probability of death offers a great opportunity to optimize the allocation of medical resources, which is crucial in responding to a large-scale outbreak of an emerging infectious disease such as COVID-19.
The main goal of this work was therefore to develop a Machine Learning model that can identify whether a patient with SARS-CoV-2 is at risk of death
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