A Markovian Probabilistic Model for Risk Analysis and Forecasting in Big Healthcare Data Settings
Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Healthcare Informatics; Medical Information Systems; Probabilistic Risk Assessment; Probabilistic Model Checking; Markov Decision Processes
List of contributors:
Cuzzocrea, Alfredo; Coronato, Antonio
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