CARRIER

Coronary ARtery disease: Risk estimations and Interventions for prevention and EaRly detection – a Personal Health Train project

life sciences and ehealth

CARRIER

CARRIER

Coronary ARtery disease: Risk estimations and Interventions for prevention and EaRly detection – a Personal Health Train project

CARRIER targets detection and primary and secondary prevention of coronary artery disease (CAD) with a regional alliance of clinicians, citizens, legal experts, and data scientists collaborating on research of big data-driven, participative self-care interventions.

CAD is the most common cardiovascular disease and one of the leading causes of deaths and disability. Strong clinical
evidence exists for the benefit of physical activity, healthy diet, and cessation of nicotine use. However, only a minority of
citizens participate in rehabilitation programs to prevent CAD. Internet and smartphone-based self-care offers a wider reach
for such interventions.

CARRIER will combine clinical big data from different sources (hospitals and general practitioners) with socio-economic big
data and artificial intelligence to build models that will drive detection and prevention of CAD with an intervention delivered
via an electronic multimedia gamified lifestyle coach (eCoach). A prognostic model will help identify patients at increased
risk (primary prevention) that along with patients with CAD (secondary prevention), will form the target population. The
participants, together with clinicians, will co-create a personalised health management plan, and they will be supported by
the eCoach to adhere to it. The use of the eCoach will generate data on the participants’ lifestyle that will feed and validate
a predictive model to estimate the personalised benefit of lifestyle changes. This will inform clinicians and will affect the
behaviour of the eCoach.

CARRIER will offer valuable insights into the effectiveness of eCoach-supported self-care for CAD and the value of clinical
and socio-economic data in early detection of CAD.

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