Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Jan Nilsson

Professor

Default user image.

Artificial Neural Networks - A Method for Optimal. Donor-Recipient Matching. Large Scale Simulation of Survival after Heart Transplantation

Author

  • Jan Nilsson
  • Mattias Ohlsson
  • Peter Höglund
  • Björn Ekmehag
  • Bansi Koul

Department/s

  • Cardiovascular Research - Immunity and Atherosclerosis
  • Computational Biology and Biological Physics
  • Division of Clinical Chemistry and Pharmacology
  • Cardiology
  • Thoracic Surgery
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2010

Language

English

Pages

69-69

Publication/Series

Journal of Heart and Lung Transplantation

Volume

29

Issue

2, Suppl. 1

Document type

Conference paper: abstract

Publisher

Elsevier

Topic

  • Cardiac and Cardiovascular Systems

Conference name

30th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation

Conference date

2010-04-21 - 2010-04-24

Status

Published

Research group

  • Cardiovascular Research - Immunity and Atherosclerosis

ISBN/ISSN/Other

  • ISSN: 1557-3117