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NTIS 바로가기한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.28 no.6, 2023년, pp.1 - 10
이대영 ((주)미래와도전 디지털기획부) , 이정훈 ((주)미래와도전 사업개발그룹) , 양승혁 ((주)미래와도전 디지털기획부)
The nuclear power plant(NPP)'s Instrumentation and Control(I&C) system periodically conducts integrity checks for the maintenance of self-diagnostic function during normal operation. Additionally, it performs functionality and performance checks during planned preventive maintenance periods. However...
Choi, C. W., Kim, H. J., Shim, E. E., Im, A.?Y., Lee, Y. J., Jeong, S. J. and Kim, K. B.?(2020). Review of Lung Cancer Survival?Analysis with Multimodal Data. Annual?Conference of KIP S Vol.27 No.2.
Faraggi, D. and Simon, R. (1995). A neural?network model for survival data. Statistics?in Medicine, 14(1):73-82.
Fotso, S. (2018). Deep neural networks for?survival analysis based on a multi-task?framework. arXiv preprints arXiv:1801.05512.
Harrell, F. E., Califf, R. M., Pryor, D. B., Lee,?K. L. and Rosati, R. A. (1982). Evaluating?the yield of medical tests. Journal of the?American Medical Association, 247 (18):2543-2546.
Heagerty, P. J. and Zheng, Y. (2005). Survival?model predictive accuracy and ROC curves.?Biometrics; 61(1):92-105.
Ishwaran, H., Kogalur, U. B., Blackstone, E.?H. and Lauer, M. S. (2008) Random survival?forests. The Annals of Applied Statistics,?2(3) 841-860.
Kamarudin, A. N., Cox, T., Kolamunnage-Dona,?R. (2017). Time-dependent ROC curve?analysis in medical research: current methods?and applications. MC Medical Research?Methodology, 17(1):53.
Kapur, K. C. and Pecht, M. (2014). Reliability?Engineering, New Jersey, John Wiley & Sons
Katzman, J. L., Shaham, U., Cloninger, A.,?Bates, J., Jiang, T., and Kluger, Y. (2018).?DeepSurv: personalized treatment recommender?system using a Cox proportional hazards?deep neural network. BMC Medical Research?Methodology, 18(1).
Lee, C., Zame, Z., Yoon, J., and Schaar, M.?(2018). Deephit: A deep learning approach?to survival analysis with competing risks.?In Thirty-Second AAAI Conference on?Artificial Intelligence, Vol.32 No.1.
Luck, M., Sylvain, T., Cardinal, H., Lodi, A.,?and Bengio, Y. (2017). Deep learning for?patient-specific kidney graft survival analysis.?arXiv preprint, arXiv:1705.10245.
Raykar, V. C., Steck, H., Krishnapuram, B.,?Dehing-Oberije, C. and Lambin, P. (2007).?On ranking in survival analysis: bounds on?the concordance index. In Proceedings of?the 20th International Conference on Neural?Information Processing Systems, pages?1209-1216.
Sargent, D. J. (2001). Comparison of artificial?neural networks with other statistical?approaches. Cancer, 91(8):1636-42.
Xiang, A., Lapuerta, P., Ryutov, A., Buckley,?J., and Azen, S. (2000). Comparison of the?performance of neural network methods and?Cox regression for censored survival data.?Computational Statistics & Data Analysis,?34:243-257.
Yang, J., Jeon, S., Lee, H. S. (2022) Predictive?models and visualizations according to?outcome variables using R-focusing on?regression analyses. Journal of Health?Informatics and Statistics, Vol.47 : 21-30.
Yousefi, S., Amrollahi, F., Amgad, M., Dong,?C., Lewis, J. E., Song, C., Gutman, D. A.,?Halani, S. H., Vega, J. E. V., Brat, D. J. and Lee, A. D. (2017). Predicting clinical?outcomes from large scale cancer genomic?profiles with deep survival models.?Scientific Reports, 7(1): 11707.
Zhu, X., Yao, J. and Huang, J. (2016). Deep?convolutional neural network for survival?analysis with pathological images. In 2016?IEEE International Conference on?Bioinformatics and Biomedicine, pages 544-547.
Zhu, X., Yao, J., Zhu, F., and Huang, J.?(2017). WSISA: Making survival prediction?from whole slide histopathological images.?In 2017 IEEE Conference on Computer?Vision and Pattern Recognition, pages?6855-6863.
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