Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach

Lung cancer (LC) remains one of the most lethal diseases globally, necessitating the development of advanced predictive models for early detection and accurate diagnosis. Traditional classification techniques often struggle with uncertainty and indeterminacy in medical data, which can lead to misdia...

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Bibliographic Details
Main Authors:	Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar
Format:	Article
Language:	English
Published:	University of New Mexico 2025-07-01
Series:	Neutrosophic Sets and Systems
Subjects:	lung cancer prediction enhanced neutrosophic set machine learning medical diagnosis uncertainty modeling random forest logistic regression k-nearest neighbors neutrosophic logic clinical data analysis
Online Access:	https://fs.unm.edu/NSS/64LungCancer.pdf
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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach

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