A Semantic Web Based Knowledge Management Framework | to Model Behaviour Change Constructs for Generation of Personalized Action Plans

Wasif Hasan Baig

ISBN 10: 3659851620 / ISBN 13: 9783659851629

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

A Semantic Web Based Knowledge Management Framework | to Model Behaviour Change Constructs for Generation of Personalized Action Plans | Wasif Hasan Baig | Taschenbuch | 136 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659851629 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 115307294

Bibliographic Details

• Title: A Semantic Web Based Knowledge Management Framework | to Model Behaviour Change Constructs for Generation of Personalized Action Plans
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 3659851620
• ISBN 13: 9783659851629
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Behavior change approaches aim to assist patients in making lifestyle adjustments so that they are able to self-manage their condition effectively. Self-efficacy (SE) is central to behavior change, and different behavior change theories propose a range of targeted strategies and action plans to gradually induce behavior adjustments amongst patients so that they are able to achieve efficacy in self-management of their condition. Social cognitive theory (SCT) is a comprehensive behavior change theory that proposes self-efficacy construct as central to behavior change. In this thesis, we have taken a knowledge management approach to computerize specialized self-efficacy constructs stipulated by SCT to formulate a high-level SCT knowledge model. We have collected and computerized behavior change content targeting healthy living and physical activity. Semantic web technologies have been used to develop a SCT ontology and SWRL rules to infer personalized self-management plans based on a given patient profile. We present formative evaluation of the clinical correctness and relevance of the generated personalized action plans for a range of test patient profiles.