HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm.

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第一作者： Satvik,Dasariraju

第一单位： Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States; The Lawrenceville School, Lawrenceville, NJ, United States.

作者： Satvik,Dasariraju ^[1] ; Loren,Gragert ^[2] ; Grace L,Wager ^[2] ; Keith,McCullough ^[3] ; Nicholas K,Brown ^[4] ; Malek,Kamoun ^[4] ; Ryan J,Urbanowicz ^[5]

作者单位： Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States; The Lawrenceville School, Lawrenceville, NJ, United States. ^[1] Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, United States. ^[2] Arbor Research Collaborative for Health, Ann Arbor, MI, United States. ^[3] Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States. ^[4] Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA, United States. Electronic address: ryan.urbanowicz@cshs.org. ^[5]

关键词 Binning Feature learning Graft survival Histocompatibility Kidney transplantation Machine learning

主题词人类(Humans);氨基酸类(Amino Acids);组织相容性试验(Histocompatibility Testing);HLA-A抗原(HLA-A Antigens);危险性评估(Risk Assessment);肾(Kidney)

DOI 10.1016/j.jbi.2023.104374

PMID 37120046

发布时间 2024-06-03

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