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Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.

Author

  • Johan Nilsson
  • Mattias Ohlsson
  • Peter Höglund
  • Björn Ekmehag
  • Bansi Koul
  • Bodil Andersson

Summary, in English

Heart transplantation is life saving for patients with end-stage heart disease. However, a number of factors influence how well recipients and donor organs tolerate this procedure. The main objective of this study was to develop and validate a flexible risk model for prediction of survival after heart transplantation using the largest transplant registry in the world.

Department/s

  • Thoracic Surgery
  • Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS)
  • Heart and Lung transplantation
  • Computational Biology and Biological Physics
  • Department of Astronomy and Theoretical Physics
  • Artificial Intelligence in CardioThoracic Sciences (AICTS)
  • Division of Clinical Chemistry and Pharmacology
  • Cardiology
  • Surgery (Lund)

Publishing year

2015

Language

English

Publication/Series

PLoS ONE

Volume

10

Issue

3

Document type

Journal article

Publisher

Public Library of Science (PLoS)

Topic

  • Surgery
  • Cardiac and Cardiovascular Systems

Status

Published

Project

  • Pancreatic cancer

Research group

  • Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS)
  • Heart and Lung transplantation
  • Artificial Intelligence in CardioThoracic Sciences (AICTS)

ISBN/ISSN/Other

  • ISSN: 1932-6203