Multi-Criteria Decision Support System for Lung Cancer Prediction

Abstract Lung cancer is one of the most common deadly malignant tumours, with rapid morbidity and death worldwide. Cancer risk prediction a challenging complex task in field healthcare. Many studies have been carried out by researchers to analyse establish lung symptoms factors. However, further improvements are vital required be conducted order overcome persistent challenges. In this study, multi-criteria decision support system for based on web-based survey data has presented realised. The proposed framework aims incorporate powerful analytical hierarchy process (AHP) artificial neural network constituting model. multiple criteria decision-making strategy assigns weight each individual symptom feature from data. weighted features then used train multi-layer perceptron (ANN) build disease Experimental analysis evaluation performed 276 subjects revealed promising performance developed terms various classification metrics.