Alessandro Bacci
A Cloud Application for monitoring AKI in ICU patients.
Rel. Fulvio Giovanni Ottavio Risso, Andrea Ancona. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022
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Abstract
U-Care Medical is a spin-off of the Polytechnic of Turin that operates in the biomedical field and whose core business is to transform kidney care through AI technology. The main idea is to use Machine Learning models to predict the probability of ICU (Intensive Care Unit) for patients contracting a severe, and in some cases persistent, form of AKI (Acute Kidney Injury). This thesis, made in collaboration with the above spin-off, aims at creating an easy-to-use Proof of Concept targeting the ICU medical staff, which should be able to access the platform, view ICU patients’ and possibly inspect them individually. In this case, their vital parameters such as diuresis, creatinine, bicarbonate, and more are shown, using graphs that show their hourly distribution.
The application was designed to be in the cloud
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