综合分析基于计算机智能的针对不同证候的若干突破

Darsh Shah, Rutvik Dixit, Aneri Shah, Priyam Shah, Manan Shah
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引用次数: 26

摘要

人工智能是一个广阔的领域;这个术语表示机器或计算机在不受人为干扰的情况下构建智能行为的应用。人工智能被表达为制造智能计算机的科学与工程的结合。人工智能一词适用于医学和医疗保健领域的广泛问题,如机器人,一种涉及太多不同类型疾病的医学诊断,人类生物学和医学统计。医学和医疗保健领域的人工智能是本次调查的主要焦点。我们的目标是强调基于人工智能行为检测许多疾病的技术的许多算法。然后,我们更准确地回顾了人工智能在遗传性疾病、生理性疾病、癌症和传染病等几类疾病中的应用。我们分析了基于人工智能的算法,并对上述类别中的疾病进行了同样的分析。流行的人工智能技术包括机器学习方法,以及自然语言处理的实现。我们还讨论了大数据在医疗保健领域的影响,以及它如何支持改善人工智能领域。本文概述了各种人工智能方法,并回顾了相关的重要临床应用。
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A Comprehensive Analysis Regarding Several Breakthroughs Based on Computer Intelligence Targeting Various Syndromes

Artificial intelligence (AI) is a broad field; this term signifies the application of a machine or computer to construct intelligent behaviour with insignificant human interruption or interference. AI is expressed as the combination of science and engineering for making intelligent computers. The term AI applies to a broad spectrum of matters in medicine and healthcare sectors like robotics, a medical diagnosis which concerns too many different types of diseases, human biology, and medical statistics. AI in medicine and health care is the main focus of this survey. Our goal is to highlight numerous algorithms based on the techniques which rely on artificially intelligent behaviour for detecting many diseases. We then review more precisely regarding AI applications in several categories of diseases such as hereditary diseases, physiological diseases, cancers, and infectious diseases. We have analysed the AI-based algorithms, and results for the same for the diseases included in the categories as mentioned above. Popular AI techniques include machine learning methods, along with the implementation of natural language processing. We have also discussed the impact of big data in the healthcare sector and how it has supported to improve the field of AI. An overview of various artificial intelligent methods is exhibited in this paper alongside the review of relevant important clinical applications.

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