An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.
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| Title: | An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors. |
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| Authors: | Liu XY; Department of Organ Transplantation, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510163, China., Feng RT; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Feng WX; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Jiang WW; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Chen JA; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Zhong GL; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Chen CW; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Li ZJ; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Zeng JD; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Liu D; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Zhou S; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Hu JM; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Liao GR; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Liao J; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Guo ZF; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Li YZ; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Yang SQ; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Li SC; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Chen H; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Guo Y; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Li M; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Fan LP; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Yan HY; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Chen JR; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Li LY; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Liu YG; Department of Organ Transplantation, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China. liuyg168@smu.edu.cn. |
| Source: | BMC medicine [BMC Med] 2024 Sep 20; Vol. 22 (1), pp. 407. Date of Electronic Publication: 2024 Sep 20. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1741-7015 |
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| DOI: | 10.1186/s12916-024-03624-4 |
