IDEAS home Printed from https://ideas.repec.org/b/spr/spopap/978-0-387-09770-1.html
   My bibliography  Save this book

Handbook of Optimization in Medicine

Editor

Listed:
  • H. Edwin Romeijn
    (University of Michigan)

  • Panos M. Pardalos
    (University of Florida)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • H. Edwin Romeijn & Panos M. Pardalos (ed.), 2009. "Handbook of Optimization in Medicine," Springer Optimization and Its Applications, Springer, number 978-0-387-09770-1, December.
    • Handle: RePEc:spr:spopap:978-0-387-09770-1
    DOI: 10.1007/b100322
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Nan Kong & Andrew J. Schaefer & Brady Hunsaker & Mark S. Roberts, 2010. "Maximizing the Efficiency of the U.S. Liver Allocation System Through Region Design," Management Science, INFORMS, vol. 56(12), pages 2111-2122, December.
    2. Panos Pardalos & Vera Tomaino & Petros Xanthopoulos, 2009. "Optimization and data mining in medicine," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(2), pages 215-236, December.
    3. Mehmet C. Demirci & Andrew J. Schaefer & H. Edwin Romeijn & Mark S. Roberts, 2012. "An Exact Method for Balancing Efficiency and Equity in the Liver Allocation Hierarchy," INFORMS Journal on Computing, INFORMS, vol. 24(2), pages 260-275, May.
    4. Eva K. Lee & Helder I. Nakaya & Fan Yuan & Troy D. Querec & Greg Burel & Ferdinand H. Pietz & Bernard A. Benecke & Bali Pulendran, 2016. "Machine Learning for Predicting Vaccine Immunogenicity," Interfaces, INFORMS, vol. 46(5), pages 368-390, October.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    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:spr:spopap:978-0-387-09770-1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.