In this paper, we propose and empirically assess Markovian Probabilistic Model for Risk Analysis and Forecasting in Big Healthcare Data Settings. Our proposed model introduce several aspects of research innovation, within the broader context of so-called Medical Information Systems. The proposed model is critically assessed on top of a reference case study coming from a real-life research project in the context of hospital and healthcare management.

A Markovian Probabilistic Model for Risk Analysis and Forecasting in Big Healthcare Data Settings

Coronato Antonio;Cuzzocrea Alfredo
2021

Abstract

In this paper, we propose and empirically assess Markovian Probabilistic Model for Risk Analysis and Forecasting in Big Healthcare Data Settings. Our proposed model introduce several aspects of research innovation, within the broader context of so-called Medical Information Systems. The proposed model is critically assessed on top of a reference case study coming from a real-life research project in the context of hospital and healthcare management.
2021
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
IEEE Annual International Computer Software and Applications Conference (COMPSAC)
652
662
11
Sì, ma tipo non specificato
12/06/2021, 16/06/2021
Healthcare Informatics
Medical Information Systems
Probabilistic Risk Assessment
Probabilistic Model Checking
Markov Decision Processes
2
none
Coronato, Antonio; Cuzzocrea, ALFREDO MASSIMILIANO
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/444257
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