冠心病检测认知保健系统的设计

M. Mohanty
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引用次数: 2

摘要

本章着重于临床决策系统(CDS)在医疗保健单位的使用。在本章中,认知方法采用软计算技术来设计临床决策系统(CDS)为现代医疗保健单位。考虑了基于认知计算的方法。它专注于通过考虑其周围因素来检测心脏病。模糊逻辑是其中的一部分。另一部分是利用深度神经网络(DNN)对糖尿病进行自动识别。实验是用皮马印第安人的数据集完成的。在结果部分给出了分类结果。医疗保健单位中的决策系统是多智能体系统的一个合适示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Cognitive Healthcare System for Coronary Cardiac Disease Detection
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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