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Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering

Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering

Copyright: © 2019 |Pages: 27
ISBN13: 9781522589037|ISBN10: 1522589031|EISBN13: 9781522589044
DOI: 10.4018/978-1-5225-8903-7.ch027
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MLA

Deperlioglu, Omer. "Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering." Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 666-692. https://doi.org/10.4018/978-1-5225-8903-7.ch027

APA

Deperlioglu, O. (2019). Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering. In I. Management Association (Ed.), Biotechnology: Concepts, Methodologies, Tools, and Applications (pp. 666-692). IGI Global. https://doi.org/10.4018/978-1-5225-8903-7.ch027

Chicago

Deperlioglu, Omer. "Intelligent Techniques Inspired by Nature and Used in Biomedical Engineering." In Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 666-692. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8903-7.ch027

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Abstract

Managing medical information and knowledge is becoming an increasing problem for healthcare professionals. Medical science that contains ever-increasing amounts of knowledge, such as the medical history of a patient, medical data about diseases, diagnosis and treatment methods, should be necessarily a science of information. The real problem faced by patients and healthcare providers is finding and using relevant knowledge at the right time. In this context, in the middle of 1950s, intelligent computer systems, called clinical decision support systems (CDSS), were introduced as a new concept. CDSS is defined as an active intelligent system that can help medical experts to make decisions by taking specific recommendations. Also, it provides decisions based on resolving patient-specific information and related medical truths. The objective of this chapter is to focus on these systems and explain relations with the field of artificial intelligence methods, approaches, or techniques in this manner.

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