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Rule-based Computer Aided Decision Making for Traumatic Brain Injuries

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Machine Learning in Healthcare Informatics

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

Abstract

This chapter provides an overview of various machine learning algorithms which are typically adopted into many predictive computer-assisted decision making systems for traumatic injuries. The objective here is to compare some existing machine learning methods using an aggregated database of traumatic injuries. These methods are used towards the development of rule-based computer-assisted decision-making systems that provide recommendations to physicians for the course of treatment of the patients. Since physicians in trauma centers are constantly required to make quick yet difficult decisions for patient care using a multitude of patient information, such computer assisted decision support systems are bound to play a vital role in improving healthcare. The content of this chapter also presents a novel image processing method to assess traumatic brain injuries (TBI).

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Author information

Authors and Affiliations

  1. Department of Computer Science, School of Engineering, Virginia Commonwealth University, East Hall, Room 4248, 401 West Main Street, 843019, Richmond, VA, 23284-3019, USA

    Ashwin Belle & Kayvan Najarian

  2. Department of Computer Science, Bowie State University, Building Suite 207, 14000 Jericho Park Road, Bowie, MD, 20715, USA

    Soo-Yeon Ji

  3. Department of Biostatistics, Virginia Commonwealth University, Seventh Floor, 830 East Main Street, 980032, Richmond, VA, 23298-0032, USA

    Wenan Chen

  4. The Department of General Surgery, Division of Trauma, Surgical Critical Care and Acute Care Surgery, Carolinas Medical Center, 1000 Blythe Blvd, Charlotte, NC, 28203, USA

    Toan Huynh

Authors
  1. Ashwin Belle
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  2. Soo-Yeon Ji
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  3. Wenan Chen
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  4. Toan Huynh
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  5. Kayvan Najarian
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Corresponding author

Correspondence to Ashwin Belle .

Editor information

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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Belle, A., Ji, SY., Chen, W., Huynh, T., Najarian, K. (2014). Rule-based Computer Aided Decision Making for Traumatic Brain Injuries. 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_11

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  • DOI: https://doi.org/10.1007/978-3-642-40017-9_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40016-2

  • Online ISBN: 978-3-642-40017-9

  • eBook Packages: EngineeringEngineering (R0)

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