Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non‐small‐cell lung cancer treated with stereotactic body radiation therapy
Journal of Applied Clinical Medical Physics2018Vol. 19(5), pp. 539–546
Citations Over TimeTop 19% of 2018 papers
Hann‐Hsiang Chao, Gilmer Valdés, José Marcio Luna, Marina Heskel, Abigail T. Berman, Timothy D. Solberg, Charles B. Simone
Abstract
Using machine learning algorithms in this first of its kind study, we identify robust features and cutoffs predictive for the rare clinical event of CWS. Additional data in planned subsequent multicenter studies will help increase the accuracy of multivariate analysis.
Related Papers
- → Why Multivariate Methods are Usually Vital(1988)98 cited
- → A multivariate approach to a specific problem of grouping maize cultivars(1990)5 cited
- → Interpreting the output of multivariate analyses: A discussion of current approaches(1984)18 cited
- → Replicable multivariate BWAS with moderate sample sizes(2022)21 cited
- → Introduction(2002)1 cited