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

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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https://fs.unm.edu/NSS/64LungCancer.pdf

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