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Highlights • Early diagnosis could improve lung cancer survival rate.• The availability of blood-based screening could increase lung cancer patient uptake.• An interdisciplinary mechanism combines metabolomics and machine learning methods.•… Click to show full abstract
Highlights • Early diagnosis could improve lung cancer survival rate.• The availability of blood-based screening could increase lung cancer patient uptake.• An interdisciplinary mechanism combines metabolomics and machine learning methods.• Metabolic biomarkers could be potential screening biomarkers for early detection of lung cancer.• Naïve Bayes is recommended as an exploitable tool for early lung tumor prediction.
Keywords:
machine learning;
lung;
learning methods;
lung cancer;
early lung
Journal Title: Translational Oncology
Year Published: 2020
Link to full text (if available)
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Journal Title: Translational Oncology
Year Published: 2020
Link to full text (if available)
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recommendations!