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Machine Learning in Healthcare Informatics pp 1–23Cite as

Introduction to Machine Learning in Healthcare Informatics

Part of the Intelligent Systems Reference Library book series (ISRL,volume 56)

Abstract

Healthcare informatics, a multi-disciplinary field has become synonymous with the technological advancements and big data challenges. With the need to reduce healthcare costs and the movement towards personalized healthcare, the healthcare industry faces changes in three core areas namely, electronic record management, data integration, and computer aided diagnoses. Machine learning a complex field in itself offers a wide range of tools, techniques, and frameworks that can be exploited to address these challenges. This chapter elaborates on the intricacies of data handling the data rich filed of healthcare informatics, and the potential role of machine learning to mitigate the challenges faced.

Keywords

  • Machine Learning
  • Single Photon Emission Compute Tomography
  • Electronic Health Record
  • Pervasive Computing
  • Unify Medical Language System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fig. 1.1
Fig. 1.2
Fig. 1.3

Notes

  1. 1.

    http://www.recovery.gov/About/Pages/The_Act.aspx

  2. 2.

    http://metadata-standards.org/11179/

  3. 3.

    http://www.thehastingscenter.org/Publications/IRB/Default.aspx/

  4. 4.

    http://www.cambio.se/

  5. 5.

    https://www.healthvault.com/us/en

  6. 6.

    http://www.ihtsdo.org/snomed-ct/snomed-ct0/

  7. 7.

    http://www.openehr.org/

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Authors and Affiliations

  1. Data Mining Research Laboratory (DMRL), Department of Computer Science, Louisiana Tech University, LA, USA

    Pradeep Chowriappa, Sumeet Dua & Yavor Todorov

Authors
  1. Pradeep Chowriappa
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  2. Sumeet Dua
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  3. Yavor Todorov
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Correspondence to Pradeep Chowriappa .

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Editors and Affiliations

  1. Department of Computer Science, Louisiana Tech University, Ruston, Louisiana, USA

    Sumeet Dua

  2. Ngee Ann Polytechnic, Singapore, Singapore

    U. Rajendra Acharya

  3. Department of Health Informatics and Information Management, Louisiana Tech University, Ruston, Louisiana, USA

    Prerna Dua

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Chowriappa, P., Dua, S., Todorov, Y. (2014). Introduction to Machine Learning in Healthcare Informatics. In: Dua, S., Acharya, U., Dua, P. (eds) Machine Learning in Healthcare Informatics. Intelligent Systems Reference Library, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40017-9_1

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