AutoML

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• Published Subscription Review Article 23 Dec 2025

  Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques

  By Altaf Osman Mulani, Vaibhav Godase, Swapnil Takale, Rahul Ghodake

  Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …

  Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article →