Hybrid Metaheuristic–Deep Learning Framework Based on Big Bang–Big Crunch Optimization for Multiclass Disease Prediction

Abstract

Dengue fever is known to be a significant universal health issue as it has a high level of transmission and
predicting the severity of the disease during early stages is not easy. Proper multiclassification of dengue
severity is necessary in order to provide timely clinical care as well as effective use of available healthcare
resources.