Detection and Prediction of Lung Cancer using the zNose with the SVM Classification

The objective of this study is to detect volitile organic compounds with breath test of patients using the zNose device. The research involves multivariate analysis of the data through the use of artificial intelligence tools, constructing digital signatures (models) of lung cancer patients and linking this to the case-base reasoning cycle in order to provide precise prediction of early stage lung cancer in a non invasive manner

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References

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