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Chronic Heart Failure is one of the most remarkable health problems for prevalence and morbidity,
especially in the developed western countries, with a strong impact in terms of social and economic effects.
All these aspects are typically emphasized within the elderly population, with very frequent hospital admissions and a significant increase of medical costs.
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HEARTFAID aims to make more effective and efficient all the processes related to diagnosis, prognosis and treatment of the Heart Failure within elderly population.
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This general goal will be achieved by developing and providing an innovative technological platform that:
- integrate biomedical data within electronic health record systems, for easy and ubiquitous access to heterogeneous patients data;
- provide services for healthcare professionals, including patient telemonitoring, signal and image processing, alert and alarm system;
- support clinical decision in the heart failure domain, based on pattern recognition in historical data, knowledge discovery analysis and inferences on patients’ clinical data.
The technological innovations embedded into the HEARTFAID platform can be summarized as follows:
- middleware infrastructure for interoperability and biomedical data acquisition and integration;
- integration of several approaches for coding the relevant medical knowledge and extracting new knowledge:
- knowledge based approach (deductive knowledge) for coding clinical guidelines and clinical best practice;
- a knowledge discovery approach (inductive knowledge) for extracting new knowledge from the practical clinical experience of suitable case sets;
- innovative approaches for biomedical signal and image processing;
- medical and clinical decision support of all the key steps in the clinical management of HF patients, i.e. diagnosis, prognosis, and treatment.
The system functionalities and services provided by the HEARTFAID platform are sketched in the following figure.
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| Responsible of the Project Web Site:
Domenico Costanzo |
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