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Predict DLBCL patients' recurrence within two years with Gaussian mixture model cluster oversampling and multi-kernel learning.

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第一作者： Meng,Xing

第一单位： Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Taiyuan, China.

作者： Meng,Xing ^[1] ; Yanbo,Zhang ^[1] ; Hongmei,Yu ^[1] ; Zhenhuan,Yang ^[1] ; Xueling,Li ^[1] ; Qiong,Li ^[1] ; Yanlin,Zhao ^[1] ; Zhiqiang,Zhao ^[2] ; Yanhong,Luo ^[3]

作者单位： Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Taiyuan, China. ^[1] Department of Hematology, Shanxi Cancer Hospital, Taiyuan, China. Electronic address: zqzhao69@163.com. ^[2] Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, Taiyuan, China. Electronic address: sxmulyh@163.com. ^[3]

关键词 Class imbalance DLBCL Gaussian mixture model clustering oversampling Multiple kernel learning Recurrence prediction

医学主题词成年人(Adult);人类(Humans);肿瘤复发, 局部(Neoplasm Recurrence, Local);聚类分析(Cluster Analysis);算法(Algorithms);淋巴瘤, 大B细胞, 弥漫性(Lymphoma, Large B-Cell, Diffuse)

DOI 10.1016/j.cmpb.2022.107103

PMID 36088813

发布时间 2022-11-14

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