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Different scenarios for the prediction of hospital readmission of diabetic pati...

Neto, Cristiana; Senra, Fabio; Leite, Jaime; Rei, Nuno; Rodrigues, Rui; Ferreira, Diana; Machado, José Manuel

Hospitals generate large amounts of data on a daily basis, but most of the time that data is just an overwhelming amount of information which never transitions to knowledge. Through the application of Data Mining techniques it is possible to find hidden relations or patterns among the data and convert those into knowledge that can further be used to aid in the decision-making of hospital professionals. This stu...

Date: 2021   |   Origin: RepositóriUM - Universidade do Minho
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