Comparison of different feature selection pipelines for creating parsimonious patient-level prediction models
- Analytics use case(s): Patient-Level Prediction
- Study type: Methods Research, Clinical Application
- Tags: Feature Selection
- Study lead: Jose Posada, Aniek Markus, Ross Williams, Jenna Reps
- Study lead forums tag: jposada jreps RossW aniekmarkus
- Study start date: 2021-11-15
- Study end date: -
- Protocol: Click Here
- Publications: -
- Results explorer: -
Method research to determine
- Whether we can implement feature selection in big p and big n data to develop parsimonious models while not compromising model performance
- Whether one feature selection pipeline is better than others