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Abstract

This chapter summarises the proposed feature engineering method for classification applications (Chap. 3) and the main observations in several experiments presented in Chap. 4, 5, 6. Discussions also include limitations and future works for each scenario. In general, the contribution of a systematic application of feature engineering to accuracy performance is shown in all three cases of real-life biomedical data classification.

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References

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Correspondence to Thuy T. Pham .

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Pham, T.T. (2019). Conclusion. In: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-98675-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-98675-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98674-6

  • Online ISBN: 978-3-319-98675-3

  • eBook Packages: EngineeringEngineering (R0)

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