Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection

Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection

The advancement of biomarkers is critically important at present, as lung cancer is a leading cause of death. In the present study, volatile organic compounds (VOCs) are considered as biomarkers to predict lung cancer. VOCs from seven different sources including breath, blood, urine, cell line, pler...

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Bibliographic Details
Main Authors: Divya Khanna, Arun Kumar, Shahid Ahmad Bhat
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
VOCs
lung cancer
biomarkers
machine learning models
ensemble model
ensemble feature selection approach
Online Access:https://ieeexplore.ieee.org/document/10833635/
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