About Me
Research Interests
Machine Learning, Natural Language Processing, Data Visualization and Analytics, Big Data.
Publications
2016
Wasif Hasan Baig
A Semantic Web Based Knowledge Management Framework to Model Behaviour Change Constructs for Generation of Personalized Action Plans Masters Thesis
Dalhousie University, 2016.
Links | BibTeX | Tags: Behavioural Theory, Chronic Illness, Knowledge Modelling, Ontology Engineering, Patient Empowerment, Personalized Medicine, Self-Management, Semantic Web, Social Cognition Theory
@mastersthesis{Baig-Wasif-MHI-HINF,
title = {A Semantic Web Based Knowledge Management Framework to Model Behaviour Change Constructs for Generation of Personalized Action Plans},
author = {Wasif Hasan Baig},
url = {https://niche.cs.dal.ca/wp-content/uploads/2016/01/Baig-Wasif-MHI-HINF-September-2015.pdf},
year = {2016},
date = {2016-09-01},
school = {Dalhousie University},
keywords = {Behavioural Theory, Chronic Illness, Knowledge Modelling, Ontology Engineering, Patient Empowerment, Personalized Medicine, Self-Management, Semantic Web, Social Cognition Theory},
pubstate = {published},
tppubtype = {mastersthesis}
}
2014
Amina Russell; Samina Raza Abidi; Syed Sibte Raza Abidi
Shared Decision Making: Using Technologies and Theories to Engage the Patient in their Health Journey Proceedings Article
In: 26th European Medical Informatics Conference (MIE2014), Istanbul, Turkey, 2014.
BibTeX | Tags: Behavioural Theory, Choice Architecture, Decision Theory, Integrated Change Model, Patient Empowerment, Shared Decision Making
@inproceedings{arussell-mie14,
title = {Shared Decision Making: Using Technologies and Theories to Engage the Patient in their Health Journey},
author = {Amina Russell and Samina Raza Abidi and Syed Sibte Raza Abidi
},
year = {2014},
date = {2014-09-01},
booktitle = {26th European Medical Informatics Conference (MIE2014)},
address = {Istanbul, Turkey},
keywords = {Behavioural Theory, Choice Architecture, Decision Theory, Integrated Change Model, Patient Empowerment, Shared Decision Making},
pubstate = {published},
tppubtype = {inproceedings}
}
Samina Abidi; Michael Vallis; Syed Sibte Raza Abidi; Helena Piccinini-Vallis; Syed Ali Imran
D-WISE: Diabetes Web-Centric Information and Support Environment: conceptual specification and proposed evaluation. Journal Article
In: Can J Diabetes, vol. 38, no. 3, pp. 205-11, 2014, ISSN: 2352-3840.
Abstract | BibTeX | Tags: Behaviour Modelling, Behavioural Theory, Diabetes Management, Health Informatics, Mobile Health, Patient Education
@article{Abidi:CanJDiabetes:2014,
title = {D-WISE: Diabetes Web-Centric Information and Support Environment: conceptual specification and proposed evaluation.},
author = {Samina Abidi and Michael Vallis and Syed Sibte Raza Abidi and Helena Piccinini-Vallis and Syed Ali Imran},
issn = {2352-3840},
year = {2014},
date = {2014-01-01},
journal = {Can J Diabetes},
volume = {38},
number = {3},
pages = {205-11},
address = {Canada},
abstract = {OBJECTIVE: To develop and evaluate Diabetes Web-Centric Information and Support Environment (D-WISE) that offers 1) a computerized decision-support system to assist physicians to A) use the Canadian Diabetes Association clinical practice guidelines (CDA CPGs) to recommend evidence-informed interventions; B) offer a computerized readiness assessment strategy to help physicians administer behaviour-change strategies to help patients adhere to disease self-management programs; and 2) a patient-specific diabetes self-management application, accessible through smart mobile devices, that offers behaviour-change interventions to engage patients in self-management. METHODS: The above-mentioned objectives were pursued through a knowledge management approach that involved 1) Translation of paper-based CDA CPGs and behaviour-change models as computerized decision-support tools that will assist physicians to offer evidence-informed and personalized diabetes management and behaviour-change strategies; 2) Engagement of patients in their diabetes care by generating a diabetes self-management program that takes into account their preferences, challenges and needs; 3) Empowering patients to self-manage their condition by providing them with personalized educational and motivational messages through a mobile self-management application. The theoretical foundation of our research is grounded in behaviour-change models and healthcare knowledge management. We used 1) knowledge modelling to computerize the paper-based CDA CPGs and behaviour-change models, in particular, the behaviour-change strategy elements of A) readiness-to-change assessments; B) motivation-enhancement interventions categorized along the lines of patients' being ready, ambivalent or not ready; and C) self-efficacy enhancement. The CDA CPGs and the behaviour-change models are modelled and computerized in terms of A) a diabetes management ontology that serves as the knowledge resource for all the services offered by D-WISE; B) decision support services that use logic-based reasoning algorithms to utilize the knowledge encoded within the diabetes management ontology to assist physicians by recommending patient-specific diabetes-management interventions and behaviour-change strategies; C) a mobile diabetes self-management application to engage and educate diabetes patients to self-manage their condition in a home-based setting while working in concert with their family physicians. RESULTS: We have been successful in creating and conducting a usability assessment of the physician decision support tool. These results will be published once the patient self- management application has been evaluated. CONCLUSIONS: D-WISE will be evaluated through pilot studies measuring 1) the usability of the e-Health interventions; and 2) the impact of the interventions on patients' behaviour changes and diabetes control},
keywords = {Behaviour Modelling, Behavioural Theory, Diabetes Management, Health Informatics, Mobile Health, Patient Education},
pubstate = {published},
tppubtype = {article}
}
OBJECTIVE: To develop and evaluate Diabetes Web-Centric Information and Support Environment (D-WISE) that offers 1) a computerized decision-support system to assist physicians to A) use the Canadian Diabetes Association clinical practice guidelines (CDA CPGs) to recommend evidence-informed interventions; B) offer a computerized readiness assessment strategy to help physicians administer behaviour-change strategies to help patients adhere to disease self-management programs; and 2) a patient-specific diabetes self-management application, accessible through smart mobile devices, that offers behaviour-change interventions to engage patients in self-management. METHODS: The above-mentioned objectives were pursued through a knowledge management approach that involved 1) Translation of paper-based CDA CPGs and behaviour-change models as computerized decision-support tools that will assist physicians to offer evidence-informed and personalized diabetes management and behaviour-change strategies; 2) Engagement of patients in their diabetes care by generating a diabetes self-management program that takes into account their preferences, challenges and needs; 3) Empowering patients to self-manage their condition by providing them with personalized educational and motivational messages through a mobile self-management application. The theoretical foundation of our research is grounded in behaviour-change models and healthcare knowledge management. We used 1) knowledge modelling to computerize the paper-based CDA CPGs and behaviour-change models, in particular, the behaviour-change strategy elements of A) readiness-to-change assessments; B) motivation-enhancement interventions categorized along the lines of patients' being ready, ambivalent or not ready; and C) self-efficacy enhancement. The CDA CPGs and the behaviour-change models are modelled and computerized in terms of A) a diabetes management ontology that serves as the knowledge resource for all the services offered by D-WISE; B) decision support services that use logic-based reasoning algorithms to utilize the knowledge encoded within the diabetes management ontology to assist physicians by recommending patient-specific diabetes-management interventions and behaviour-change strategies; C) a mobile diabetes self-management application to engage and educate diabetes patients to self-manage their condition in a home-based setting while working in concert with their family physicians. RESULTS: We have been successful in creating and conducting a usability assessment of the physician decision support tool. These results will be published once the patient self- management application has been evaluated. CONCLUSIONS: D-WISE will be evaluated through pilot studies measuring 1) the usability of the e-Health interventions; and 2) the impact of the interventions on patients' behaviour changes and diabetes control
Amina Russell; Samina Raza Abidi; Syed Sibte Raza Abidi
Shared Decision Making: Using Theories and Technology to Engage the Patient in Their Health Journey Proceedings Article
In: e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31 - September 3, 2014, pp. 303–307, 2014.
Links | BibTeX | Tags: Behaviour Modelling, Behavioural Theory, Health Informatics, Shared Decision Making
@inproceedings{DBLP:conf/mie/RussellAA14,
title = {Shared Decision Making: Using Theories and Technology to Engage the Patient in Their Health Journey},
author = {Amina Russell and Samina Raza Abidi and Syed Sibte Raza Abidi},
url = {http://dx.doi.org/10.3233/978-1-61499-432-9-303},
year = {2014},
date = {2014-01-01},
booktitle = {e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31 - September 3, 2014},
pages = {303--307},
crossref = {DBLP:conf/mie/2014},
keywords = {Behaviour Modelling, Behavioural Theory, Health Informatics, Shared Decision Making},
pubstate = {published},
tppubtype = {inproceedings}
}
2010
Selena Davis; Syed Sibte Raza Abidi; Samuel Alan Stewart
A Compositional Personalization Approach for Designing Personalized Patient Educational Interventions for Cardiovascular Risk Management Proceedings Article
In: Stud Health Technol Inform, pp. 629-33, Netherlands, 2010, ISSN: 0926-9630.
Abstract | BibTeX | Tags: Behaviour Modelling, Behavioural Theory, Compositional Personalization, Information Personalization, Patient Empowerment
@inproceedings{Davis:StudHealthTechnolInform:2010,
title = {A Compositional Personalization Approach for Designing Personalized Patient Educational Interventions for Cardiovascular Risk Management},
author = {Selena Davis and Syed Sibte Raza Abidi and Samuel Alan Stewart},
issn = {0926-9630},
year = {2010},
date = {2010-01-01},
booktitle = {Stud Health Technol Inform},
volume = {160},
number = {Pt 1},
pages = {629-33},
address = {Netherlands},
abstract = {Providing patients with personalized educational messages can improve self-management of Cardiovascular Disease (CVD) risk factors. We present our compositional personalization approach that generates personalized educational material by dynamically selecting fine-grained information snippets, as per the patient profile, and then synthesizing them in a educational template to yield personalized patient education interventions. We apply our personalization approach in the PULSE system--Personalization Using Linkages of SCORE and behavior change readiness to web-based Education--that generates personalized patient education for CVD risk management. The PULSE framework involves the calculation of CVD risk assessment using the Systematic COronary Risk Evaluation (SCORE) algorithm, the estimation of readiness to change using the Transtheoretical Model (TTM) of intentional behavior change. The educational interventions were derived from evidence-based staged lifestyle modification materials and Canadian guidelines for CVD risk management.},
keywords = {Behaviour Modelling, Behavioural Theory, Compositional Personalization, Information Personalization, Patient Empowerment},
pubstate = {published},
tppubtype = {inproceedings}
}
Providing patients with personalized educational messages can improve self-management of Cardiovascular Disease (CVD) risk factors. We present our compositional personalization approach that generates personalized educational material by dynamically selecting fine-grained information snippets, as per the patient profile, and then synthesizing them in a educational template to yield personalized patient education interventions. We apply our personalization approach in the PULSE system--Personalization Using Linkages of SCORE and behavior change readiness to web-based Education--that generates personalized patient education for CVD risk management. The PULSE framework involves the calculation of CVD risk assessment using the Systematic COronary Risk Evaluation (SCORE) algorithm, the estimation of readiness to change using the Transtheoretical Model (TTM) of intentional behavior change. The educational interventions were derived from evidence-based staged lifestyle modification materials and Canadian guidelines for CVD risk management.
2006
Selena Davis; Syed Sibte Raza Abidi; Jafna Cox
Personalized cardiovascular risk management linking SCORE and behaviour change to web-based education Proceedings Article
In: Ubiquity: Technologies for Better Health in Aging Societies - Proceedings of MIE2006, The XXst International Congress of the European Federation for Medical Informatics, Maastricht, The Netherlands, A, pp. 235–240, 2006.
Links | BibTeX | Tags: Behaviour Modelling, Behavioural Theory, Cardiovascular, Information Personalization, Patient Education
@inproceedings{DBLP:conf/mie/DavisAC06,
title = {Personalized cardiovascular risk management linking SCORE and behaviour change to web-based education},
author = {Selena Davis and Syed Sibte Raza Abidi and Jafna Cox},
url = {http://dx.doi.org/10.3233/978-1-58603-647-8-235},
year = {2006},
date = {2006-01-01},
booktitle = {Ubiquity: Technologies for Better Health in Aging Societies - Proceedings of MIE2006, The XXst International Congress of the European Federation for Medical Informatics, Maastricht, The Netherlands, A},
pages = {235--240},
crossref = {DBLP:conf/mie/2006},
keywords = {Behaviour Modelling, Behavioural Theory, Cardiovascular, Information Personalization, Patient Education},
pubstate = {published},
tppubtype = {inproceedings}
}