IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v71y2005i3p315-331.html
   My bibliography  Save this article

A review and comparison of classification algorithms for medical decision making

Author

Listed:
  • Harper, Paul R.

Abstract

No abstract is available for this item.

Suggested Citation

  • Harper, Paul R., 2005. "A review and comparison of classification algorithms for medical decision making," Health Policy, Elsevier, vol. 71(3), pages 315-331, March.
    • Handle: RePEc:eee:hepoli:v:71:y:2005:i:3:p:315-331
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168-8510(04)00096-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. P R Harper & A K Shahani, 2002. "Modelling for the planning and management of bed capacities in hospitals," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 11-18, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marion Rauner & Michaela Schaffhauser-Linzatti & Johannes Bauerstaetter, 2015. "Decision support system for social occupational injury insurance institutions: cost analysis and targeted resource allocation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 1-29, March.
    2. Casagranda, Ivo & Costantino, Giorgio & Falavigna, Greta & Furlan, Raffaello & Ippoliti, Roberto, 2016. "Artificial Neural Networks and risk stratification models in Emergency Departments: The policy maker's perspective," Health Policy, Elsevier, vol. 120(1), pages 111-119.
    3. Lisa Dandolo & Christina Hartig & Klaus Telkmann & Sophie Horstmann & Lars Schwettmann & Peter Selsam & Alexandra Schneider & Gabriele Bolte & on behalf of the INGER Study Group, 2022. "Decision Tree Analyses to Explore the Relevance of Multiple Sex/Gender Dimensions for the Exposure to Green Spaces: Results from the KORA INGER Study," IJERPH, MDPI, vol. 19(12), pages 1-25, June.
    4. Harper, P.R. & Knight, V.A. & Marshall, A.H., 2012. "Discrete Conditional Phase-type models utilising classification trees: Application to modelling health service capacities," European Journal of Operational Research, Elsevier, vol. 219(3), pages 522-530.
    5. Wei-Yin Loh, 2014. "Fifty Years of Classification and Regression Trees," International Statistical Review, International Statistical Institute, vol. 82(3), pages 329-348, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hone-Jay Chu & Bo-Cheng Lin & Ming-Run Yu & Ta-Chien Chan, 2016. "Minimizing Spatial Variability of Healthcare Spatial Accessibility—The Case of a Dengue Fever Outbreak," IJERPH, MDPI, vol. 13(12), pages 1-11, December.
    2. P R Harper & S Phillips & J E Gallagher, 2005. "Geographical simulation modelling for the regional planning of oral and maxillofacial surgery across London," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 134-143, February.
    3. Fanwen Meng & Jin Qi & Meilin Zhang & James Ang & Singfat Chu & Melvyn Sim, 2015. "A Robust Optimization Model for Managing Elective Admission in a Public Hospital," Operations Research, INFORMS, vol. 63(6), pages 1452-1467, December.
    4. Thomas J. Best & Burhaneddin Sandıkçı & Donald D. Eisenstein & David O. Meltzer, 2015. "Managing Hospital Inpatient Bed Capacity Through Partitioning Care into Focused Wings," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 157-176, May.
    5. Yariv Marmor & Thomas Rohleder & David Cook & Todd Huschka & Jeffrey Thompson, 2013. "Recovery bed planning in cardiovascular surgery: a simulation case study," Health Care Management Science, Springer, vol. 16(4), pages 314-327, December.
    6. Harper, Paul R. & Winslett, David J., 2006. "Classification trees: A possible method for maternity risk grouping," European Journal of Operational Research, Elsevier, vol. 169(1), pages 146-156, February.
    7. Sara Ceschia & Andrea Schaerf, 2016. "Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays," Journal of Scheduling, Springer, vol. 19(4), pages 377-389, August.
    8. J D Griffiths & N Price-Lloyd & M Smithies & J E Williams, 2005. "Modelling the requirement for supplementary nurses in an intensive care unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 126-133, February.
    9. J P Oddoye & M A Yaghoobi & M Tamiz & D F Jones & P Schmidt, 2007. "A multi-objective model to determine efficient resource levels in a medical assessment unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1563-1573, December.
    10. P R Harper & N H Powell & J E Williams, 2010. "Modelling the size and skill-mix of hospital nursing teams," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 768-779, May.
    11. Praveen Thokala & Simon Dixon & Beate Jahn, 2015. "Resource Modelling: The Missing Piece of the HTA Jigsaw?," PharmacoEconomics, Springer, vol. 33(3), pages 193-203, March.
    12. Willoughby, Keith A. & Chan, Benjamin T.B. & Marques, Shauna, 2016. "Using simulation to test ideas for improving speech language pathology services," European Journal of Operational Research, Elsevier, vol. 252(2), pages 657-664.
    13. Berta, P. & Lovaglio, P.G. & Paruolo, P. & Verzillo, S., 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand," Health, Econometrics and Data Group (HEDG) Working Papers 20/16, HEDG, c/o Department of Economics, University of York.
    14. Harper, P.R. & Knight, V.A. & Marshall, A.H., 2012. "Discrete Conditional Phase-type models utilising classification trees: Application to modelling health service capacities," European Journal of Operational Research, Elsevier, vol. 219(3), pages 522-530.
    15. Fanwen Meng & Kiok Teow & Chee Ooi & Bee Heng & Seow Tay, 2015. "Analysis of patient waiting time governed by a generic maximum waiting time policy with general phase-type approximations," Health Care Management Science, Springer, vol. 18(3), pages 267-278, September.
    16. J K Cochran & K Roche, 2008. "A queuing-based decision support methodology to estimate hospital inpatient bed demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1471-1482, November.
    17. Yue Zhang & Martin L. Puterman & Matthew Nelson & Derek Atkins, 2012. "A Simulation Optimization Approach to Long-Term Care Capacity Planning," Operations Research, INFORMS, vol. 60(2), pages 249-261, April.
    18. repec:dgr:rugsom:02a63 is not listed on IDEAS
    19. Harper, P. R. & Shahani, A. K. & Gallagher, J. E. & Bowie, C., 2005. "Planning health services with explicit geographical considerations: a stochastic location-allocation approach," Omega, Elsevier, vol. 33(2), pages 141-152, April.
    20. Arnoud Bruin & A. Rossum & M. Visser & G. Koole, 2007. "Modeling the emergency cardiac in-patient flow: an application of queuing theory," Health Care Management Science, Springer, vol. 10(2), pages 125-137, June.
    21. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:hepoli:v:71:y:2005:i:3:p:315-331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.