Abstract
Computer-aided decision-making systems have been introduced into many fields, such as economics, medicine, architecture, and agriculture. The increasing demand and rapid pace of development of such computer-aided decision-making systems displays their popularity and success in aiding and enhancing various fields. In the field of medicine, the advantage of having such systems is in the expense, labor, energy, and budget savings they provide to the health care environments. In the following sections, a brief description of the application of such systems in hemorrhagic shock, attention detection, traumatic brain injuries, and pelvic fracture detection has been provided. A flowchart of the procedure of developing such systems is represented in Fig. 7.1.
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Acknowledgement
The authors would like to acknowledge Dr. Ashwin Belle, Dr. Yurong Lue, Dr. Simina Vascilache, and Dr. Wenan Chen for contributing their research to this chapter.
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Zahery, M., Najarian, K. (2013). Signal, Image Processing, and Machine Learning: The Key to Complex Problems in Medicine and Biology. In: Toni, B. (eds) Advances in Interdisciplinary Mathematical Research. Springer Proceedings in Mathematics & Statistics, vol 37. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6345-0_7
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