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Medical Diagnosis by Using Machine Learning Techniques

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Data Analytics for Traditional Chinese Medicine Research

Abstract

There are many challenges in data analytic research for TCM (Traditional Chinese Medicine), like various clinical record sources, different symptom descriptions, lots of collected clinical symptoms, more than one syndrome attached to one clinical record and etc. Novel methods on feature selection, multi-class, and multi-label techniques in machine learning field are proposed to meet the challenges. Here in this chapter, we will introduce our works on discriminative symptoms selection and multi-syndrome learning, which have improved the performance of state-of-arts works.

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Author information

Authors and Affiliations

  1. Department of Control Science and Engineering, Tongji University, Shanghai, China

    Mingyu You & Guo-Zheng Li

Authors
  1. Mingyu You
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  2. Guo-Zheng Li
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Correspondence to Guo-Zheng Li .

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Editors and Affiliations

  1. University of Sydney, Sydney, New South Wales, Australia

    Josiah Poon

  2. University of Sydney, Sydney, New South Wales, Australia

    Simon K. Poon

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You, M., Li, GZ. (2014). Medical Diagnosis by Using Machine Learning Techniques. In: Poon, J., K. Poon, S. (eds) Data Analytics for Traditional Chinese Medicine Research. Springer, Cham. https://doi.org/10.1007/978-3-319-03801-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-03801-8_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-03801-8

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