Multi-angle Support Vector Survival Analysis with Neural Tangent Kernel Study
Author:
Funder
Gansu Provincial Research Project
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-07540-8.pdf
Reference29 articles.
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2. Atlam, M.; Torkey, H.; El-Fishawy, N.; Salem, H.: Coronavirus disease 2019 (covid-19): survival analysis using deep learning and cox regression model. Pattern Anal. Appl. 24(3), 993–1005 (2021)
3. Wang, Y.; Flowers, C.R.; Li, Z.; Huang, X.: Condis: a conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis. J. Biomed. Informat. 13, 104117 (2022)
4. Ganggayah, M.D.; Taib, N.A.; Har, Y.C.; Lio, P.; Dhillon, S.K.: Predicting factors for survival of breast cancer patients using machine learning techniques. BMC Med. Inf. Decis. Mak. 19(1), 1–17 (2019)
5. Jiang, W.; Li, M.; Tan, J.; Feng, M.; Zheng, J.; Chen, D.; Liu, Z.; Yan, B.; Wang, G.; Xu, S.; et al.: A nomogram based on a collagen feature support vector machine for predicting the treatment response to neoadjuvant chemoradiotherapy in rectal cancer patients. Ann. Surg. Oncol. 28(11), 6408–6421 (2021)
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