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Interpretable Machine Learning Framework for Early Prediction of Kawasaki Disease using Chi-MF Feature Selection and AdaBoost Decision Fusion

Title: Interpretable Machine Learning Framework for Early Prediction of Kawasaki Disease using Chi-MF Feature Selection and AdaBoost Decision Fusion
Authors: Kodete, Chandra Shikhi; Nalini, Mekala Hari Ranjitha; Rao, Lingidi Nageswar; Kumar, Vadapally Praveen; Kumar, V S Pavan; Amrutha, Kankanala
Source: 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL) Sentiment Analysis and Deep Learning (ICSADL), 2026 5th International Conference on. :164-171 Feb, 2026
Relation: 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL)
Database: IEEE Xplore Digital Library