The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study
JMIR Medical Informatics2022Vol. 10(2), pp. e33440–e33440
Citations Over TimeTop 10% of 2022 papers
Abstract
The RSF model slightly outperformed the other models on discriminative ability, revealing the potential of the RSF method as an effective approach to building prognostic prediction models in the context of survival analysis.
Related Papers
- → An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments(2019)140 cited
- → A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture(2021)12 cited
- → A Machine Learning Technique for Detection of Diabetes Mellitus(2022)1 cited
- → Performance Evaluation of Machine Learning and Deep Learning Techniques(2022)4 cited
- → A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends(2023)3 cited