Abstract: A system and method for processing unstructured dataset corresponding to lung cancer are disclosed. The system retrieves, from databases, unstructured dataset of individual. Further, system, extracts, from retrieved unstructured dataset, attributes associated with lung cancer of individual, and classifies unstructured dataset into lung cancer classifications, based on attributes, using Recurrent Neural Network (RNN) based model. Additionally, system generates, using chimp optimization model, stochastic population of candidate solutions comprising chimps of lung cancer classifications. Further, the system identifies optimal weight parameters for stochastic population of candidate solutions, based on oppositional-based and random-based chimp optimization model. Furthermore, the system generates, using RNN-based model, prediction result of lung cancer classifications, based on optimal weight parameters.