OPBG - Ospedale Pediatrico Bambino Gesù
B.Sc. in Physics at Sapienza University of Rome with an astrophysics thesis about physical processes in a binary stellar system developed during an internship at the Max Planck Institute for Radioastronomy.
M.Sc. in Data Science at Sapienza, one exchange semester at Heriott-Watt University of Edinburgh and one exchange year at University of Melbourne with a bibliometrics thesis dealing with the application of physics of complex systems models to the global research production.
After working 6 months as data analyst and after a 6 months in consultancy I happily set as researcher at OPBG.
Speeches di Giammarco Quaglia
Forecasting emergency department patients volumes with ML
Aim of the study is the evaluation of several machine learning algorithms to predict the number of patients accessing the emergency department. Identifying periodic variations in demand for ED can lead to optimization of resource allocation and increase of patients' wellbeing in healthcare.
5 years of daily patient arrivals data coming from two different hospitals, OPBG Sant'Onofrio and OPBG Palidoro, were analyzed, thus allowing to test the same algorithms (time series regression, neural network, exponential smoothing) on two rather different kinds of dataset. Seasonal as well weekly trends resulted.
Predictive analysis, Machine Learning and Artificial Intelligence