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A Review of Machine Learning for Healthcare Informatics Specifically Tuberculosis Disease Diagnostics

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Intelligent Technologies and Applications (INTAP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 932))

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Abstract

This paper describes the notion of machine learning practices and key technologies for healthcare informatics. We categorize the machine learning techniques applied for Healthcare Informatics into four categories: machine learning types, approaches, learning paradigms and algorithms for healthcare informatics. In this paper, we provide a quick overview of the state-of-the-art, research challenges and future directions, specifically driven to the Tuberculosis disease diagnostics. We highlight the strengths and weaknesses of the machine learning techniques to help the healthcare research community to select the appropriate technique in order to apply in the healthcare domain.

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Acknowledgments

PriyankaÅ› work was supported for her MPhil studies at IMCS, University of Sindh, Jamshoro, Pakistan.

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Authors and Affiliations

  1. Institute of Mathematics and Computer Science, University of Sindh, Jamshoro, 70680, Pakistan

    Priyanka Karmani, Aftab Ahmed Chandio, Imtiaz Ali Korejo & Muhammad Saleem Chandio

Authors
  1. Priyanka Karmani
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  2. Aftab Ahmed Chandio
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  3. Imtiaz Ali Korejo
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  4. Muhammad Saleem Chandio
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Corresponding authors

Correspondence to Priyanka Karmani or Aftab Ahmed Chandio .

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Editors and Affiliations

  1. Department of Computer Science and IT, Islamia University of Bahawalpur, Baghdad, Pakistan

    Imran Sarwar Bajwa

  2. Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK

    Fairouz Kamareddine

  3. Department of Computer Engineering and Digital Systems, University of Sao Paulo, São Paulo, Brazil

    Anna Costa

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Karmani, P., Chandio, A.A., Korejo, I.A., Chandio, M.S. (2019). A Review of Machine Learning for Healthcare Informatics Specifically Tuberculosis Disease Diagnostics. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_5

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  • DOI: https://doi.org/10.1007/978-981-13-6052-7_5

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