Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation

• Author: D. Medved; P. Nugets; M. Ohlsson; P. Hoglund; B. Andersson; J. Nilsson
• Department/s: Robotics and Semantic Systems; Department of Computer Science; Artificial Intelligence in CardioThoracic Sciences (AICTS); eSSENCE: The e-Science Collaboration; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Computational Biology and Biological Physics - Has been reorganised; Department of Astronomy and Theoretical Physics - Has been reorganised; Clinical studies in CKD; Division of Clinical Chemistry and Pharmacology; Hepato-Pancreato-Biliary Surgery; Surgery (Lund); Thoracic Surgery; Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS); Heart and Lung transplantation
• Publishing year: 2018
• Language: English
• Pages: 171-172
• Publication/Series: The Journal of Heart and Lung Transplantation
• Volume: 37
• Issue: 4 Suppl
• Links: http://dx.doi.org/10.1016/j.healun.2018.01.417
• Document type: Conference paper: abstract
• Publisher: Elsevier
• Topic: Surgery
• Conference name: 38th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation
• Conference date: 2018-04-11 - 2018-04-14
• Conference place: Nice, France
• Status: Published
• Project: Lund University AI Research
• Research group: Artificial Intelligence in CardioThoracic Sciences (AICTS); Clinical studies in CKD; Hepato-Pancreato-Biliary Surgery; Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS); Heart and Lung transplantation
• ISBN/ISSN/Other: ISSN: 1053-2498