Tan, F.; Zhou, J.-G.; Li, S.; Long, B.; Bellur, S.; Zhou, Y.; Newman, M.
A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast Cancer. Diagnostics 2026, 16, 790.
https://doi.org/10.3390/diagnostics16050790
AMA Style
Tan F, Zhou J-G, Li S, Long B, Bellur S, Zhou Y, Newman M.
A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast Cancer. Diagnostics. 2026; 16(5):790.
https://doi.org/10.3390/diagnostics16050790
Chicago/Turabian Style
Tan, Fangya, Jian-Guo Zhou, Shuqiao Li, Bowen Long, Srikar Bellur, Yang Zhou, and Mark Newman.
2026. "A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast Cancer" Diagnostics 16, no. 5: 790.
https://doi.org/10.3390/diagnostics16050790
APA Style
Tan, F., Zhou, J.-G., Li, S., Long, B., Bellur, S., Zhou, Y., & Newman, M.
(2026). A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast Cancer. Diagnostics, 16(5), 790.
https://doi.org/10.3390/diagnostics16050790
