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首页> 外文期刊>International Journal of Applied Research on Information Technology and Computing >Intelligent Healthcare Agent System Design Issues
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Intelligent Healthcare Agent System Design Issues

机译：智能医疗保健代理系统设计问题

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In this paper, we will discuss about the different types of intelligent agents of healthcare which delved health information system for better treatment and suggestion. In today's world, computer science plays a vital role in day-to-day life. In almost every field, computers play a vital role according to their requirements. Even in healthcare, computer science (computer) plays an important role in analysing and diagnosing medical problems and diseases. Artificial intelligence (AI) has revolutionised medical science. Nowadays, AI is in high demand in medicinal science. This paper describes important issues related to the characteristics of the Intelligent Healthcare Agent System (IHCAS) and the methodologies used for its implementation. Intelligent agents are a new paradigm for developing software application. Currently, agents are the focus of intense interest on the parts of many subfields of computer science and artificial intelligence. It defines how they are figured out for diagnosis of diseases, symptoms and suggestion. These case-studies lead us to IHCAS and help figure out the most optimal methodology and the best solution for diagnosis. This paper aims to survey important intelligent healthcare agent research works and presents a case-study based on the analysis and comparison of various methodologies used in intelligent healthcare agents. We find that every methodology has some good and some bad aspects. Different methodologies for intelligent healthcare agent are used for providing better healthcare diagnosis problems. Some methodologies are very good in one domain, whereas others are good in a different domain, but the aim of all methodologies is the same, i.e. to solve medical diagnosis problems, food habits, healthy lifestyle and healthcare awareness among the people.
机译：在本文中，我们将讨论不同类型的智能医疗保健代理，它们探索了健康信息系统以提供更好的治疗和建议。在当今世界，计算机科学在日常生活中起着至关重要的作用。在几乎每个领域，计算机都根据其要求发挥着至关重要的作用。即使在医疗保健领域，计算机科学（计算机）在分析和诊断医学问题和疾病中也起着重要作用。人工智能（AI）彻底改变了医学科学。如今，医学界对AI的需求很高。本文介绍了与智能医疗代理系统（IHCAS）的特性及其实现方法有关的重要问题。智能代理是开发软件应用程序的新范例。当前，对计算机科学和人工智能的许多子领域的部分，代理商一直是引起极大兴趣的焦点。它定义了如何找出它们来诊断疾病，症状和建议。这些案例研究使我们进入了IHCAS，并帮助找出了最佳的诊断方法和最佳解决方案。本文旨在调查重要的智能保健代理研究工作，并基于对智能保健代理中使用的各种方法的分析和比较，进行案例研究。我们发现，每种方法都有其优缺点。智能保健代理的不同方法用于提供更好的保健诊断问题。有些方法在一个领域中非常好，而其他方法则在不同领域中好，但是所有方法的目的都是相同的，即解决人们的医疗诊断问题，饮食习惯，健康的生活方式和保健意识。

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