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Design of Cognitive Healthcare System for Coronary Cardiac Disease Detection

Design of Cognitive Healthcare System for Coronary Cardiac Disease Detection

Mihir Narayan Mohanty
Copyright: © 2019 |Pages: 34
ISBN13: 9781522557937|ISBN10: 1522557938|ISBN13 Softcover: 9781522586524|EISBN13: 9781522557944
DOI: 10.4018/978-1-5225-5793-7.ch001
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MLA

Mohanty, Mihir Narayan. "Design of Cognitive Healthcare System for Coronary Cardiac Disease Detection." Emerging Trends and Applications in Cognitive Computing, edited by Pradeep Kumar Mallick and Samarjeet Borah, IGI Global, 2019, pp. 1-34. https://doi.org/10.4018/978-1-5225-5793-7.ch001

APA

Mohanty, M. N. (2019). Design of Cognitive Healthcare System for Coronary Cardiac Disease Detection. In P. Mallick & S. Borah (Eds.), Emerging Trends and Applications in Cognitive Computing (pp. 1-34). IGI Global. https://doi.org/10.4018/978-1-5225-5793-7.ch001

Chicago

Mohanty, Mihir Narayan. "Design of Cognitive Healthcare System for Coronary Cardiac Disease Detection." In Emerging Trends and Applications in Cognitive Computing, edited by Pradeep Kumar Mallick and Samarjeet Borah, 1-34. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5793-7.ch001

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Abstract

This chapter focuses on clinical decision system (CDS) uses in healthcare units. In this chapter, cognitive approaches are taken using soft computing techniques to design clinical decision systems (CDS) for modern healthcare units. Cognitive computing-based approach is considered. It focuses on cardiac disease detection exclusively by considering its surrounding factors. Fuzzy logic is utilized as one part. The other part includes diabetic detection using deep neural network (DNN) for the automatic identification of the disease. The experiment was done with the Pima Indian dataset. The classification result has been presented in the result section. The decision system in the healthcare unit is a suitable example of a multi-agent system.

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