Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art

Davide Ferrari, Veronica Guidetti , Yanzhong Wang, Vasa Curcin

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

41 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art'. Together they form a unique fingerprint.

Computer Science

Mathematics