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IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis.

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第一作者： Kazi,Noshin

第一单位： Department of Computer Science, University of Virginia VA 22903, USA.

作者： Kazi,Noshin ^[1] ; Bojian,Hou ^[2] ; Mary Regina,Boland ^[3] ; Zixuan,Wen ^[4] ; Boning,Tong ^[5] ; Li,Shen ^[2] ; Aidong,Zhang ^[1]

作者单位： Department of Computer Science, University of Virginia VA 22903, USA. ^[1] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Philadelphia, PA 19104, USA. ^[2] Data Science Program, Department of Mathematics, Saint Vincent College, Latrobe, PA 15650, USA. ^[3] Applied Mathematics and Computational Science, University of Pennsylvania Philadelphia, PA 19104, USA. ^[4] Department of Bioengineering, University of Pennsylvania Philadelphia, PA 19104, USA. ^[5]

关键词 Interpretability Risk Clustering Survival Analysis Time-to-Event Prediction

DOI 10.1109/bigdata66926.2025.11402028

PMID 41809690

发布时间 2026-03-12

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