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An Education Driven Model for Non-Communicable Diseases Care
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Author(s): Fábio Pittoli (University of Vale do Rio dos Sinos, Brazil), Henrique Damasceno Vianna (University of Vale do Rio dos Sinos, Brazil)and Jorge Luis Victória Barbosa (University of Vale do Rio dos Sinos, Brazil)
Copyright: 2016
Pages: 28
Source title:
Handbook of Research on Advancing Health Education through Technology
Source Author(s)/Editor(s): Viktor Wang (Florida Atlantic University, USA)
DOI: 10.4018/978-1-4666-9494-1.ch017
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Abstract
Patients with chronic diseases should be made aware of their planned treatments as well as being kept informed of the progress of those treatments. The Chronic Prediction model was designed not only to educate patients and assist them with some chronic non-communicable disease, but to control the risk factors that affect their diseases. The model utilizes Bayesian networks to map three things: to identify the cause and effect relationships among existing risk factors; to provide treatment recommendations about these risk factors and; to aid caregivers in the treatment of the patients.
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