A Machine Learning Framework for Early Detection of Lung Cancer using Gene Expression Data

Author(s)	Ms. Pratik Harishachandra Kokare, Dr. Ayesha Siddiqui
Country	India
Abstract	Abstract—Early detection of lung cancer significantly improves treatment outcomes. This research presents a machine learning approach utilizing RNA sequencing and gene expression profiles to predict lung cancer presence with high accuracy. We preprocess high-dimensional biological data, apply feature selection techniques to identify relevant genetic markers, and develop classification models using ensemble learning methods. Experiments on publicly available datasets demonstrate that the proposed system achieves robust predictive performance, offering a promising tool for precision oncology.
Keywords	Lung Cancer, RNA Sequencing, Gene Expression, Machine Learning, Feature Selection, Classification.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-28

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