{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T11:20:51Z","timestamp":1750591251195,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,15]]},"abstract":"<jats:p>This paper presents a novel graph-based framework for donor-recipient matching for organ transplantation, specifically targeting kidney transplantation. We pursue donor-recipient matching as a feature set matching problem using a graph-based approach. To represent kidney transplant clinical and operational considerations, we developed a kidney transplant graph by embedding kidney transplantation knowledge and relevant datasets to capture the complex relationships between the heterogeneous donor and recipient feature sets to provide a system for optimal donor and recipient matches. Our approach includes multi-dimensional graph edge types representing clinical considerations to provide comprehensive and optimal pairs. We propose the kidney transplant graph with a graph neural network to optimize donor-recipient compatibility predictions, enhancing decision-making in transplantation.<\/jats:p>","DOI":"10.3233\/shti250394","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:55:38Z","timestamp":1747385738000},"source":"Crossref","is-referenced-by-count":1,"title":["A Heterogeneous Bipartite Graph Framework for Donor-Recipient Matching in Kidney Transplantation"],"prefix":"10.3233","author":[{"given":"Sheida","family":"Majouni","sequence":"first","affiliation":[{"name":"NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karthik","family":"Tennankore","sequence":"additional","affiliation":[{"name":"Division of Nephrology, Dept. of Medicine, Dalhousie University, Halifax, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samina","family":"Abidi","sequence":"additional","affiliation":[{"name":"Dept. of Community Health & Epidemiology, Dalhousie University, Halifax, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amanda","family":"Vinson","sequence":"additional","affiliation":[{"name":"Division of Nephrology, Dept. of Medicine, Dalhousie University, Halifax, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Worthen","sequence":"additional","affiliation":[{"name":"Division of Nephrology, Dept. of Medicine, Dalhousie University, Halifax, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Sibte Raza","family":"Abidi","sequence":"additional","affiliation":[{"name":"NICHE Research Group, Faculty of Computer Science, Dalhousie University, Halifax, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:55:39Z","timestamp":1747385739000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250394"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250394","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}