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Rule-Based Systems for Medical Diagnosis

Rule-Based Systems for Medical Diagnosis

V. S. Giridhar Akula
Copyright: © 2017 |Pages: 28
ISBN13: 9781522519089|ISBN10: 1522519084|EISBN13: 9781522519096
DOI: 10.4018/978-1-5225-1908-9.ch040
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MLA

Akula, V. S. Giridhar. "Rule-Based Systems for Medical Diagnosis." Fuzzy Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 906-933. https://doi.org/10.4018/978-1-5225-1908-9.ch040

APA

Akula, V. S. (2017). Rule-Based Systems for Medical Diagnosis. In I. Management Association (Ed.), Fuzzy Systems: Concepts, Methodologies, Tools, and Applications (pp. 906-933). IGI Global. https://doi.org/10.4018/978-1-5225-1908-9.ch040

Chicago

Akula, V. S. Giridhar. "Rule-Based Systems for Medical Diagnosis." In Fuzzy Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 906-933. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1908-9.ch040

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Abstract

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.

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