{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T18:27:53Z","timestamp":1792175273622,"version":"4.4.0"},"reference-count":22,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,8,9]],"date-time":"2025-08-09T00:00:00Z","timestamp":1754697600000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2014\u2010ER6301\u201001"],"award-info":[{"award-number":["2014\u2010ER6301\u201001"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2014\u2010ER6301\u201002"],"award-info":[{"award-number":["2014\u2010ER6301\u201002"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2017\u2010ER6301\u201000"],"award-info":[{"award-number":["2017\u2010ER6301\u201000"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2017\u2010ER6301\u201001"],"award-info":[{"award-number":["2017\u2010ER6301\u201001"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2017\u2010ER6301\u201002"],"award-info":[{"award-number":["2017\u2010ER6301\u201002"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2020\u2010ER7201\u201000"],"award-info":[{"award-number":["2020\u2010ER7201\u201000"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["2020\u2010ER7201\u201001"],"award-info":[{"award-number":["2020\u2010ER7201\u201001"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Transplantation"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>BACKGROUND<\/jats:title>\n                    <jats:p>In regions with limited donor availability, optimizing efficiency in lung transplant decision\u2010making is crucial. Preoperative prediction of 1\u2010year graft failure can enhance candidate selection and clinical decision\u2010making.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>We utilized data from the Korean Organ Transplantation Registry to develop and validate a deep learning\u2010based model for predicting 1\u2010year graft failure after lung transplantation. A total of 240 cases were analyzed using 5\u2010fold cross\u2010validation. Among 25 preoperative factors associated with 1\u2010year graft failure, we selected the top 9 variables with coefficients \u2265 0.25 for model development.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Of the 240 lung transplant recipients, 55 (22.92%) developed graft failure within 1 year, while 185 survived. The final predictive model incorporated nine key pretransplant factors: age, bronchiolitis obliterans syndrome after hematopoietic cell transplantation, pretransplant bacteremia, bronchiectasis, creatinine, diabetes, positive human leukocyte antigen crossmatch, panel reactive antibody 1 peak mean fluorescence intensity, and pretransplant steroid use. The multilayer perceptron model demonstrated strong predictive performance, achieving an area under the curve of 0.780 and an accuracy of 0.733.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>Our machine learning\u2010based model effectively predicts 1\u2010year graft failure in lung transplant recipients using a minimal set of pretransplant variables. Further validation is needed to confirm its clinical applicability.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ctr.70268","type":"journal-article","created":{"date-parts":[[2025,8,9]],"date-time":"2025-08-09T13:56:02Z","timestamp":1754747762000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Machine Learning for 1\u2010Year Graft Failure Prediction in Lung Transplant Recipients: The Korean Organ Transplantation Registry"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8021-2295","authenticated-orcid":false,"given":"Dasom","family":"Noh","sequence":"first","affiliation":[{"name":"Department of Information Convergence Engineering Pusan National University  Yangsan South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3433-1409","authenticated-orcid":false,"given":"Sunyoung","family":"Kwon","sequence":"additional","affiliation":[{"name":"Department of Information Convergence Engineering Pusan National University  Yangsan South Korea"},{"name":"School of Biomedical Convergence Engineering Pusan National University  Yangsan South Korea"},{"name":"Center For Artificial Intelligence Research Pusan National University  Busan South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8299-8008","authenticated-orcid":false,"given":"Woo Hyun","family":"Cho","sequence":"additional","affiliation":[{"name":"Transplant Research Center Research Institute for Convergence of Biomedical Science and Technology Pusan National University Yangsan Hospital  Yangsan South Korea"},{"name":"Division of Allergy, Pulmonary and Critical Care Medicine, Department of Internal Medicine Pusan National University School of Medicine  Yangsan South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2767-6505","authenticated-orcid":false,"given":"Jin Gu","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Thoracic and Cardiovascular Surgery Severance Hospital Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8627-486X","authenticated-orcid":false,"given":"Song Yee","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Pulmonary and Critical Care Medicine Department of Internal Medicine Severance Hospital Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9625-2672","authenticated-orcid":false,"given":"Samina","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Thoracic and Cardiovascular Surgery Seoul National University Hospital Seoul National University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4822-1772","authenticated-orcid":false,"given":"Kyeongman","family":"Jeon","sequence":"additional","affiliation":[{"name":"Division of Pulmonary and Critical Care Medicine Department of Medicine Samsung Medical Center Sungkyunkwan University School of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8403-5790","authenticated-orcid":false,"given":"Hye Ju","family":"Yeo","sequence":"additional","affiliation":[{"name":"Transplant Research Center Research 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