Lifestyle-related early detection and interventions

Big data Analytics techniques will be exploited to address risk stratification and early detection.

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COPD exacerbations management

Machine learning methods to implement apps that predict exacerbations and avoid hospitalizations.

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Diabetes: predictive modeling of glycemic status

Short-term prediction of glycemic dynamic is essential to improve Diabetes self-management.

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Parkinson’s disease treatment DSS

Key enabling technologies to continuously or periodically measure motor and non-motor symptoms.

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Predictive readmissions and decompensations in HF

Telemonitoring services and to implement an advanced model for predicting acute Heart Failure decompensations

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Primary and secondary stroke prevention

Image recognition to detect signs for active early warning alarms to target secondary stroke prevention

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Multi-chronic elderly patient management including polimedication

Sensing technologies to monitor parameters in Chronic Care Models for multi-morbid subjects.

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