Survival prediction models: an introduction to discrete-time modeling

被引:0
|
作者
Krithika Suresh
Cameron Severn
Debashis Ghosh
机构
[1] Colorado School of Public Health,Department of Biostatistics and Informatics
[2] University of Colorado Anschutz Medical Campus,Child Health Biostatistics Core Department of Pediatrics, Section of Endocrinology, School of Medicine
来源
BMC Medical Research Methodology | / 22卷
关键词
Cox proportional hazards; Machine learning; Random survival forest; Time-to-event;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Comparison of Time Series Forecast Models for Rainfall and Drought Prediction
    Ponnamperuma, Narmada
    Rajapakse, Lalith
    MORATUWA ENGINEERING RESEARCH CONFERENCE (MERCON 2021) / 7TH INTERNATIONAL MULTIDISCIPLINARY ENGINEERING RESEARCH CONFERENCE, 2021, : 626 - 631
  • [32] Survival Time Prediction From Unannotated Lung Cancer Histopathology Images
    Fetisov, Nikolai
    Hall, Lawrence O.
    Goldgof, Dmitry B.
    Schabath, Matthew B.
    MEDICAL IMAGING 2022: DIGITAL AND COMPUTATIONAL PATHOLOGY, 2022, 12039
  • [33] Assessment of Ensemble Models for Groundwater Potential Modeling and Prediction in a Karst Watershed
    Farzin, Mohsen
    Avand, Mohammadtaghi
    Ahmadzadeh, Hassan
    Zelenakova, Martina
    Tiefenbacher, John P.
    WATER, 2021, 13 (18)
  • [34] Osteoporosis, fracture and survival: Application of machine learning in breast cancer prediction models
    Ji, Lichen
    Zhang, Wei
    Zhong, Xugang
    Zhao, Tingxiao
    Sun, Xixi
    Zhu, Senbo
    Tong, Yu
    Luo, Junchao
    Xu, Youjia
    Yang, Di
    Kang, Yao
    Wang, Jin
    Bi, Qing
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [35] An Introduction to the NMPC-Graph as General Schema for Causal Modeling of Nonlinear, Multivariate, Dynamic, and Recursive Systems with Focus on Time-Series Prediction
    Jahnz, Christoph
    PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 1, 2018, 15 : 825 - 852
  • [36] Survival prediction models since liver transplantation-comparisons between Cox models and machine learning techniques
    Kantidakis, Georgios
    Putter, Hein
    Lancia, Carlo
    de Boer, Jacob
    Braat, Andries E.
    Fiocco, Marta
    BMC MEDICAL RESEARCH METHODOLOGY, 2020, 20 (01)
  • [37] Time-range based sequential mining for survival prediction in prostate cancer
    Kaur, Ishleen
    Doja, M. N.
    Ahmad, Tanvir
    JOURNAL OF BIOMEDICAL INFORMATICS, 2020, 110
  • [38] Travel time reliability prediction by genetic algorithm and machine learning models
    Zargari, Shahriar Afandizadeh
    Khorshidi, Navid Amoei
    Mirzahossein, Hamid
    Shakoori, Samim
    Jin, Xia
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT, 2022, 177 (04) : 214 - 223
  • [39] A new algorithm for time series prediction using machine learning models
    Yeturu Jahnavi
    Poongothai Elango
    S. P. Raja
    Javier Parra Fuente
    Elena Verdú
    Evolutionary Intelligence, 2023, 16 : 1449 - 1460
  • [40] SUPPORT VECTOR MACHINE FOR DYNAMIC SURVIVAL PREDICTION WITH TIME-DEPENDENT COVARIATES
    Xie, Wenyi
    Zeng, Donglin
    Wang, Yuanjia
    ANNALS OF APPLIED STATISTICS, 2024, 18 (03) : 2166 - 2186