Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions
Date
2018-01-01
Author
Yet, Barbaros
Morrissey, Dylan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
189
views
0
downloads
Cite This
Musculoskeletal (MSK) problems present an increasing burden for the healthcare sector, particularly in ageing populations. Advances in evidence are often slow to influence clinical decisions, suggesting decision support would be beneficial. We propose a Bayesian network (BN) for providing evidence-based decision support as it can explicitly represent domain knowledge as causal relations and allows both domain knowledge and clinical data to be combined to create a usable decision model. We make a preliminary evaluation of the model's performance.
Subject Keywords
Clinical decision support
,
Bayesian networks
,
Musculoskeletal
URI
https://hdl.handle.net/11511/56132
DOI
https://doi.org/10.3233/978-1-61499-921-8-175
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
IMPLEMENTATION OF A PATIENT EMPOWERMENT PLATFORM FOR INTEGRATED CARE
Sarıgül, Bünyamin; Aydın Son, Yeşim; Laleci Ertürkmen, Gökçe Banu; Department of Bioinformatics (2022-2-11)
While the number of chronic disease patients are increasing with the aging population, their complex treatments are a burden in today’s healthcare systems both economically and technically. Integrated care systems are one of the most powerful modern technologies to overcome these difficulties and provide more efficient treatments. Integrated care enables planning the chronic disease treatments in a sustainable and collaborative way for healthcare professionals from various disciplinaries. It also helps care...
Self management of patients with ankylosing spondylitis through a personal health system
Gençtürk, Mert; Çiçekli, Fehime Nihan; Doğaç, Asuman; Department of Computer Engineering (2015)
Today, the growth in the number of aged people in the European population imposes an increasing burden on the healthcare systems. Accordingly, the number of people suffering from chronic conditions continues rising, which leads to an increasing demand for health care services and the subsequent cost pressure on the systems. In this environment, the citizens', especially chronic patients’, contribution to their own treatment is crucial to ensure future health care supply in ageing society. Patient empowermen...
Design and development of medical recommendation system for home care service for geriatrics
Beşik, Saliha İrem; Alpaslan, Ferda Nur; Department of Computer Engineering (2015)
Demands and expectations for health care have gradually increased with the longer life expectancy and decline in birth rate, however the resources reserved for health services are relatively limited. The countries with aging population problems are trying to develop new systems to obtain more effective usage of current resources. The aging population and resultant chronic illnesses has become a real problem for Turkey as well. The increase in elderly population results in more demand for health care because...
Finding potential serious adverse events of drugs by using clinical trial data and machine learning tools
Demir, Veysel Buğra; Acar, Aybar Can; Can, Tolga; Department of Biotechnology (2021-12-30)
Healthcare is improving day by day and these developments make healthcare more accessible and this leads to production of large amount of data. The interpretation of these data, making assumptions and revealing significant results by using data analysis methods are important here as in every field that produces big data. Analysed data that are collected during clinical trials have great effect in ensuring developments in healthcare. Adverse event reports are one of the important parts of the clinically stud...
Series: The research agenda for general practice/family medicine and primary health care in Europe. Part 4. Results: Specific problem solving skills
Hummers-Pradier, Eva; Beyer, Martin; Chevallier, Patrick; Eilat-Tsanani, Sophia; Lionis, Christos; Peremans, Lieve; Petek, Davorina; Rurik, Imre; Soler, Jean Karl; Stoffers, Henri Ejh; Topsever, Pinar; Ungan, Mehmet; van Royen, Paul (2010-09-01)
The 'Research Agenda for General Practice/Family Medicine and Primary Health Care in Europe ' summarizes the evidence relating to the core competencies and characteristics of the Wonca Europe defi nition of GP/ FM, and its implications for general practitioners/ family doctors, researchers and policy makers. The European Journal of General Practice publishes a series of articles based on this document. The previous articles presented background, objectives, and methodology, as well results on 'primary care ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Yet and D. Morrissey, “Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions,” 2018, vol. 255, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56132.