Comparison of invasive breast cancer prediction models
2018
University of Cambridge, Cambridge, United Kingdom
The purpose of this study is to compare two widely used invasive breast cancer prediction models: PREDICT and CancerMath, together with respective improvements, adding a new algorithm in the predictors. The results show that PREDICT performs better and that it is already a robust prediction model in which the addition of new predictor algorithms does not significantly improve its efficacy. In conclusion, PREDICT offers better clinical utility and is already robust enough.
Development and external validation of prediction models for 10-year survival of invasive breast cancer. Comparison with PREDICT and CancerMath
Solon Karapanagiotis
Added on: 07-29-2021
[1] https://clincancerres.aacrjournals.org/content/24/9/2110[2] https://data.jrc.ec.europa.eu/dataset/ffebe454-ed9a-47cf-8a33-8cf70c1b7d38
