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arXiv · 2504.03737

PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure

Giuseppe De Filippo·Simranjit Singh·Gianpiero Sisto·Marco Mazzotta·Gianvito Mitrano·Claudio Pascarelli·Gianluca Fimiani·Simone Romano·Mariangela Lazoi·Marina Garofano·Alessia Bramanti
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Abstract

The management of chronic heart failure presents significant challenges in modern healthcare, requiring continuous monitoring, early detection of exacerbations, and personalized treatment strategies. This paper presents the preliminary results of the PrediHealth research project conducted in this context. Specifically, it aims to address the challenges above by integrating telemedicine, mobile health solutions, and predictive analytics into a unified digital healthcare platform. We leveraged a web-based IoT platform, a telemonitoring kit with medical devices and environmental sensors, and AI-driven predictive models to support clinical decision-making. The project follows a structured methodology comprising research on emerging CPS/IoT technologies, system prototyping, predictive model development, and empirical validation.

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Giuseppe De Filippo, Simranjit Singh, Gianpiero Sisto, Marco Mazzotta, Gianvito Mitrano, Claudio Pascarelli, Gianluca Fimiani, Simone Romano, Mariangela Lazoi, Marina Garofano, Alessia Bramanti. 2025-04-01. PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure. https://arxiv.org/abs/2504.03737

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