MORA: An Intelligent Healthcare Platform Integrating Artificial Intelligence for Cardio-Renal Risk Prediction and Remote Patient Monitoring
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Tlemcen
Abstract
Background: The global rise of chronic non-communicable diseases (NCDs), particularly Chronic Heart
Failure (CHF) and Chronic Kidney Disease (CKD), represents one of the most pressing challenges facing
contemporary healthcare systems. These conditions frequently coexist as a complex cardio-renal syndrome,
demanding continuous, integrated clinical management rather than isolated, episodic interventions.
Traditional healthcare infrastructures, designed primarily for acute care, are increasingly strained by the
longitudinal demands of chronic disease monitoring.
Objective: This research develops MORA, an AI-powered platform for real-time remote monitoring and
early risk stratification of patients affected by CHF and CKD, with a focus on the cardio-renal axis.
Methodology: The platform integrates remote patient monitoring (RPM) with electronic health records
(EHR) to create a continuous, longitudinal data pipeline. Machine learning algorithms including gradient
boosting and deep learning architectures are employed to model disease progression and generate
predictive risk scores. Explainable AI (XAI) techniques, specifically SHAP and LIME, are incorporated to
ensure that model outputs are clinically interpretable and trustworthy for healthcare professionals.
Results: Evaluations demonstrate that MORA effectively aggregates heterogeneous health data and
delivers accurate, timely predictive insights. The integration of XAI significantly enhances clinician trust
and supports informed clinical decision-making. The platform successfully bridges the gap between raw
patient data and actionable preventive interventions.
Conclusion: MORA enables a paradigm shift from reactive to preventive chronic disease management,
with meaningful potential to improve patient outcomes through timely clinical intervention. The platform
provides a scalable, interoperable foundation for the future of AI-assisted digital healthcare.