Search
Skip to Search Results- 47Graduate and Postdoctoral Studies (GPS), Faculty of
- 47Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 8Nursing, Faculty of
- 4Nursing, Faculty of/Health Systems
- 3University of Alberta Library
- 3University of Alberta Library/Libraries Staff Publications
-
A conceptual framework for interprofessional shared decision making in home care: protocol for a feasibility study
Download2011
Murray, M.A., Dumont, S., Legare, F., Stacey, D., Desroches, S., Sales, A., Fraser, K.D., Aube, D., Briere, N.
Background: Shared decision making (SDM) is fundamental to informed consent and client-centered care. So far, SDM frameworks have been limited to the client-physician dyad, even though care is increasingly delivered by interprofessional (IP) teams. IP collaboration is especially essential in home...
-
2012
Thomson, D., Chisholm, A., Hartling, L., Dryden, D. M.
Background: Overviews of systematic reviews compile data from multiple systematic reviews (SRs) and are a new method of evidence synthesis. Objectives: To describe the methodological approaches in overviews of interventions. Design: Descriptive study. Methods: We searched 4 databases from 2000 to...
-
A Framework for Design of Panelized Wood Framing Prefabrication Utilizing Multi-panels and Crew Balancing
DownloadSpring 2014
The construction industry is highly competitive and continually striving towards improving its performance in terms of time, cost, quality, and safety. Improved performance is essential to survival in today’s construction market. In this regard, measuring productivity can facilitate improved...
-
2013
The objective of this study was to explore and understand how academic librarians use evidence in their professional decision making. A grounded theory methodology was used, following the approach of Charmaz. The 19 participants were academic librarians in Canada. Data were gathered via online...
-
2013
The objective of this study was to explore and understand how academic librarians use evidence in their professional decision making. A grounded theory methodology was used, following the approach of Charmaz. The 19 participants were academic librarians in Canada. Data were gathered via online...
-
Addressing the Challenges of Applying Machine Learning for Predicting Mental Disorders and Their Prognosis Using Two Case Studies
DownloadSpring 2019
Ghoreishiamiri, Seyedehreyhaneh
One of the principal applications of machine learning in psychiatry is to build automated tools that can help clinicians predict the diagnosis and prognosis of mental disorders using available data from patients’ profiles. Here, in two different studies, we investigate ways to use machine learn-...