Abstract

The LookAfterRisk project addresses the management of myocardial infarction (MI) patients. The main goal is the development of models for cardiovascular (CV) risk assessment of acute events integrating data from home-mobile technologies, in order to stratify patients according to their care needs. The models are applied at hospital admission, in patients with a first episode of acute MI and are continuously updated when the patient returns home.The scientific goal is the use of computational intelligence methodologies for the development of personalized, interpretable and dynamic models in the risk assessment of acute events, i.e., death/re-hospitalization. Three major scientific challenges are addressed: i) extraction of knowledge from recent datasets using data mining approaches; ii) integration of this knowledge with clinical evidence in a meaningful and interpretable way; iii) update of risk level based on data periodically collected at home during the follow up period.The result is an integrated tele-monitoring platform, merging the advantages of the continuous monitoring provided by low cost mobile technologies with prediction models.The validation is performed in the hospital admission using the largest MI Portuguese dataset (N=16000), provided by the Portuguese Society of Cardiology (PSC). The second phase is based on a home telemonitoring observational study (9 months), involving 50 patients (admitted with a first episode of acute MI). The data collected at patient’s home will be: blood pressure, heart rate, cholesterol and glycaemia. The project lasts 36 months; the team is composed by University of Coimbra, Leiria Hospital Centre and has the commitment of SPC.

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