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

Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Urovi, Visara (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Motivating Scenario: The metabolic syndrome (MS) is a cluster of health conditions that occur together and increase the risk of heart disease, stroke and diabetes. As the availability of wearable sensors is becoming more popular, the collection of frequent physiological data from individuals has become easier than ever. This raises a need for new models that interpret continuous physiological values and provide meaningful interpretation for patients and caregivers. One way of interpreting these data is by automating existing evidence based guidelines. The assumption is that, by combining different clinical guidelines relating to the metabolic syndrome with the physiological data of the patient, we can predict deterioration states that may require medical attention. Such solution can assist caregivers in identifying high-risk patients and provide patient tailored interventions.


Note: Swiss Medical Informatics SMI is the official journal of the Swiss Society of Medical Informatics SSMI


Conference Type:
short paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Kursaal, Bern, 14-15 September 2015
Date:
Kursaal, Bern
14-15 September 2015
2015
Pagination:
1 p.
Published in
Swiss Medical Informatics (SMI) & Conference Swiss eHealth Summit 2015
Numeration (vol. no.):
2015, vol. 31 (online version), p. 1
ISSN:
1660-0436
External resources:
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2016-02-01, last modified 2018-12-20

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