Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions

被引:1
|
作者
Yet, Barbaros [1 ]
Marsh, William [2 ]
Morrissey, Dylan [3 ,4 ]
机构
[1] Hacettepe Univ, Dept Ind Engn, TR-06800 Ankara, Turkey
[2] Queen Mary Univ London, Sch EECS, London, England
[3] Queen Mary Univ London, William Harvey Res Inst, Sports & Exercise Med, London, England
[4] Barts Hlth NHS Trust, Physiotherapy Dept, London, England
基金
英国工程与自然科学研究理事会;
关键词
Clinical decision support; Bayesian networks; musculoskeletal;
D O I
10.3233/978-1-61499-921-8-175
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:175 / 179
页数:5
相关论文
共 50 条
  • [21] Internet-based decision support for evidence-based medicine
    Simpson, J
    Kingston, J
    Molony, N
    KNOWLEDGE-BASED SYSTEMS, 1999, 12 (5-6) : 247 - 255
  • [22] Evidence-Based Decision Support System for Breast Cancer
    Dueck, Michael
    Beck, Eberhard
    ONCOLOGY RESEARCH AND TREATMENT, 2020, 43 : 17 - 17
  • [23] Support of a molecular tumour board by an evidence-based decision management system for precision oncology
    Lamping, Mario
    Benary, Manuela
    Leyvraz, Serge
    Messerschmidt, Clemens
    Blanc, Eric
    Kessler, Thomas
    Schuette, Moritz
    Lenze, Dido
    Joehrens, Korinna
    Burock, Susen
    Klinghammer, Konrad
    Ochsenreither, Sebastian
    Sers, Christine
    Schaefer, Reinhold
    Tinhofer, Ingeborg
    Beule, Dieter
    Klauschen, Frederick
    Yaspo, Marie-Laure
    Keilholz, Ulrich
    Rieke, Damian T.
    EUROPEAN JOURNAL OF CANCER, 2020, 127 : 41 - 51
  • [24] ADDIS: A decision support system for evidence-based medicine
    van Valkenhoef, Gert
    Tervonen, Tommi
    Zwinkels, Tijs
    de Brock, Bert
    Hillege, Hans
    DECISION SUPPORT SYSTEMS, 2013, 55 (02) : 459 - 475
  • [25] Standardization: an efficient tool to support evidence-based toxicology
    Pirlet, A.
    HUMAN & EXPERIMENTAL TOXICOLOGY, 2009, 28 (2-3) : 159 - 159
  • [26] Towards evidence-based management of paediatric RCC
    Filippo Spreafico
    Nature Reviews Urology, 2015, 12 : 426 - 428
  • [27] An evidence-based medicine approach to the diagnosis and management of musculoskeletal complaints
    Ellrodt, AG
    Cho, M
    Cush, JJ
    Kavanaugh, AF
    Lipsky, PE
    AMERICAN JOURNAL OF MEDICINE, 1997, 103 : 3 - 6
  • [28] Automatic evidence quality prediction to support evidence-based decision making
    Sarker, Abeed
    Molla, Diego
    Paris, Cecile
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2015, 64 (02) : 89 - 103
  • [29] Towards a Strategic Decision Support Tool for Innovation Ecosystems Stakeholder Management
    Carinus, Luca
    Ngongoni, Chipo. N.
    Grobbelaar, Sara S.
    2022 IEEE 28TH INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC) & 31ST INTERNATIONAL ASSOCIATION FOR MANAGEMENT OF TECHNOLOGY, IAMOT JOINT CONFERENCE, 2022,
  • [30] Implementing an Evidence-Based, Asthma Decision Support Tool for Children Younger Than 5 Years Old
    Thapa, Grace
    Nair, Sharmila
    Oetjen, Cheryl
    JOURNAL OF PEDIATRIC HEALTH CARE, 2019, 33 (03) : 296 - 308