Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data
Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data
Afidatul Masbakhah,Umu Sa’adah,M. Muslikh
1 Citations
TLDR
The RF-FOX approach offers a robust tool for early cervical cancer detection, reducing misclassification and computational complexity, and highlights its potential for broader use in healthcare diagnostics, paving the way for future hybrid model adaptations to other medical conditions.