IDEAS home Printed from https://ideas.repec.org/a/spr/topjnl/v17y2009i2p215-236.html
   My bibliography  Save this article

Optimization and data mining in medicine

Author

Listed:
  • Panos Pardalos
  • Vera Tomaino
  • Petros Xanthopoulos

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:topjnl:v:17:y:2009:i:2:p:215-236
    DOI: 10.1007/s11750-009-0124-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11750-009-0124-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11750-009-0124-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Halima Bensmail & O. John Semmes & Abdelali Haoudi, 2007. "Clustering Proteomics Data Using Bayesian Principal Component Analysis," Springer Optimization and Its Applications, in: Panos M. Pardalos & Vladimir L. Boginski & Alkis Vazacopoulos (ed.), Data Mining in Biomedicine, pages 339-362, Springer.
    2. 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.
    3. Budi Santosa & Tyrrell Conway & Theodore Trafalis, 2007. "A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis," Springer Optimization and Its Applications, in: Panos M. Pardalos & Vladimir L. Boginski & Alkis Vazacopoulos (ed.), Data Mining in Biomedicine, pages 261-274, Springer.
    4. Rembert Reemtsen & Markus Alber, 2009. "Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy," Springer Optimization and Its Applications, in: H. Edwin Romeijn & Panos M. Pardalos (ed.), Handbook of Optimization in Medicine, chapter 4, pages 83-122, Springer.
    5. Stanislav Busygin & Oleg A. Prokopyev & Panos M. Pardalos, 2005. "Feature Selection for Consistent Biclustering via Fractional 0–1 Programming," Journal of Combinatorial Optimization, Springer, vol. 10(1), pages 7-21, August.
    Full references (including those not matched with items on IDEAS)

    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. Erfan Mehmanchi & Andrés Gómez & Oleg A. Prokopyev, 2019. "Fractional 0–1 programs: links between mixed-integer linear and conic quadratic formulations," Journal of Global Optimization, Springer, vol. 75(2), pages 273-339, October.
    2. 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.
    3. Andrew Trapp & Oleg A. Prokopyev & Stanislav Busygin, 2010. "Finding checkerboard patterns via fractional 0–1 programming," Journal of Combinatorial Optimization, Springer, vol. 20(1), pages 1-26, July.
    4. Juan S. Borrero & Colin Gillen & Oleg A. Prokopyev, 2017. "Fractional 0–1 programming: applications and algorithms," Journal of Global Optimization, Springer, vol. 69(1), pages 255-282, September.
    5. 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.
    6. Andrew C. Trapp & Oleg A. Prokopyev, 2010. "Solving the Order-Preserving Submatrix Problem via Integer Programming," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 387-400, August.
    7. Erfan Mehmanchi & Andrés Gómez & Oleg A. Prokopyev, 2021. "Solving a class of feature selection problems via fractional 0–1 programming," Annals of Operations Research, Springer, vol. 303(1), pages 265-295, August.
    8. 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.
    9. Peter DiMaggio & Scott McAllister & Christodoulos Floudas & Xiao-Jiang Feng & Joshua Rabinowitz & Herschel Rabitz, 2010. "A network flow model for biclustering via optimal re-ordering of data matrices," Journal of Global Optimization, Springer, vol. 47(3), pages 343-354, July.

    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:topjnl:v:17:y:2009:i:2:p:215-236. 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: 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.