Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets

  title={Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets},
  author={Ajay Kumar Tanwani and M. Jamal Afridi and Muhammad Zubair Shafiq and Muddassar Farooq},
Biomedical datasets pose a unique challenge to machine learning and data mining algorithms for classification because of their high dimensionality, multiple classes, noisy data and missing values. This paper provides a comprehensive evaluation of a set of diverse machine learning schemes on a number of biomedical datasets. To this end, we follow a four step evaluation methodology: (1) pre-processing the datasets to remove any redundancy, (2) classification of the datasets using six different… CONTINUE READING
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Data mining: practical machine learning tools and techniques, 2nd edn

  • I. H. Witten, E. Frank
  • Morgan Kaufmann, San Francisco
  • 2005
Highly Influential
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Machine learning methods for knowledge discovery in medical data on Atherosclerosis

  • J. I. Serrano, M. Tomeckova, J. Zvarova
  • European Journal for Biomedical Informatics 2(1…
  • 2006
1 Excerpt

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