COMPOSE: A model for composable computer interpretable guidelines using data from smart wearable systems

Abstract

We address the problem of using multiple clinical guidelines to reason with temporal frequent data provided by the patient. Incorporating data coming from wearable sensors as health data can help with patient-tailored early interventions, provide personalised care and improve adherence of the medical professionals to clinical guidelines; in turn, this may significantly improve patient care.