AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier

Abstract Artificial intelligence (AI) transforms multiple businesses, including medical research, where AI-driven developments bring significant advantages. The application of machine learning algorithms enables medical researchers to examine large amounts of data accurately, which leads to the deve...

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Hauptverfasser:	Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2025-06-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	Lung cancer detection Data augmentation Machine learning in healthcare Healthcare CTGAN-RF model Class imbalance handling
Online-Zugang:	https://doi.org/10.1007/s44196-025-00879-4
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