Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659851620 ISBN 13: 9783659851629
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659851620 ISBN 13: 9783659851629
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Taschenbuch. Zustand: Neu. 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659851620 ISBN 13: 9783659851629
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659851620 ISBN 13: 9783659851629
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 3659851620 ISBN 13: 9783659851629
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 136 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659851620 ISBN 13: 9783659851629
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hasan Baig WasifWasif Hasan Baig - Degree of Master of Health Informatics at Dalhousie University, Halifax, Nova Scotia.Behavior change approaches aim to assist patients in making lifestyle adjustments so that they are able to se.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 3659851620 ISBN 13: 9783659851629
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659851620 ISBN 13: 9783659851629
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.