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Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks

  • Chapter
Intelligent Decision Making: An AI-Based Approach

Part of the book series: Studies in Computational Intelligence ((SCI,volume 97))

Heuristics are an efficient means for solving complex and also partial information business problems. Unfortunately, the development of new heuristics and the evaluation of existing heuristics is a labor intensive process. Neural networks provide a fast and reliable method for evaluation of new heuristics against existing heuristics and the optimization of new heuristics when no prior heuristic exists. This chapter describes a methodology for utilizing neural networks as a heuristic evaluation mechanism and discusses how existing research has been utilized (possibly unintentionally) in the development or evaluation of new heuristics.

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  1. The Business School, University of Colorado, 80217, Denver, CO, USA

    Steven Walczak

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  1. Loyola College in Maryland, 4501 N. Charles Street, 21210, Baltimore, MD, USA

    Gloria Phillips-Wren

  2. University of South Australia, SA 5095, Adelaide, Australia

    Nikhil Ichalkaranje  & Lakhmi C. Jain  & 

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Walczak, S. (2008). Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks. In: Phillips-Wren, G., Ichalkaranje, N., Jain, L.C. (eds) Intelligent Decision Making: An AI-Based Approach. Studies in Computational Intelligence, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76829-6_10

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  • DOI: https://doi.org/10.1007/978-3-540-76829-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76828-9

  • Online ISBN: 978-3-540-76829-6

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