title: Multi-parametric prediction for cardiovascular risk assessment.
abstract: The employment of personal health systems (pHealth) is a valuable concept in the management of chronic diseases, particularly in the context of cardiovascular diseases. By means of a continuous monitoring of the patient it is possible to seamless access multiple sources of data, including physiological signals, providing professionals with a global and reliable view of the patient's status. In practice, it is possible the prompt diagnosis of events, the early prediction of critical events and the implementation of personalized therapies. Furthermore, the information collected during long periods creates new opportunities in the diagnosis of a disease, in its evolution, and in the prediction of possible complications. The focus of this work is the research and implementation of multi-parametric algorithms for data analysis in pHealth context, including data mining techniques as well as physiological signal modelling and processing. In particular, fusion strategies for cardiovascular status evaluation (namely cardiovascular risk assessment and cardiac function estimation) and multi-parametric prediction algorithms for the early detection of cardiovascular events (such as hypertension, syncope and heart failure decompensation) will be addressed.
authors.affiliation: Center for Informatics and Systems of University of Coimbra, Informatics Engineering Department, Coimbra, Portugal, {jh@dei.uc.pt, carvalho@dei.uc.pt}
authors.forename: Jorge
authors.initials: J
authors.lastname: Henriques
authors.affiliation: Center for Informatics and Systems of University of Coimbra, Informatics Engineering Department, Coimbra, Portugal, {jh@dei.uc.pt, carvalho@dei.uc.pt}
authors.forename: Paulo
authors.initials: P
authors.lastname: de Carvalho
authors.affiliation: Polytechnic Institute of Coimbra (IPC/ISEC), Computer Science and Systems Engineering Department, Coimbra, Portugal, {sparedes@isec.pt, teresa@isec.pt}
authors.forename: Teresa
authors.initials: T
authors.lastname: Rocha
authors.affiliation: Polytechnic Institute of Coimbra (IPC/ISEC), Computer Science and Systems Engineering Department, Coimbra, Portugal, {sparedes@isec.pt, teresa@isec.pt}
authors.forename: Simão
authors.initials: S
authors.lastname: Paredes
authors.affiliation: Cardiology Department, Leiria Hospital Centre, Leiria, Portugal, {joaomorais@hsaleiria.min-saude.pt}
authors.forename: João
authors.initials: J
authors.lastname: Morais
mesh_terms: D000465:Algorithms; D002318:Cardiovascular Diseases / Q000175:diagnosis*; D057225:Data Mining / Q000379:methods; D005544:Forecasting / Q000379:methods*; D055991:Health Records, Personal; D006334:Heart Function Tests; D006801:Humans; D008490:Medical Informatics; D018570:Risk Assessment / Q000379:methods*; D013223:Statistics as Topic; D013686:Telemetry