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Mattias Ohlsson
Professor
![Photo of Mattias Ohlsson](/sites/cec.lu.se/files/styles/lu_personal_page_desktop/public/2023-02/Mattias%20Ohlsson.jpg.webp?itok=u6H6ICST)
The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.
Author
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 - Has been reorganised
- Department of Astronomy and Theoretical Physics - Has been reorganised
- 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
Full text
Links
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