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Machine Learning based Medical Information Analysis, Estimations and Approximations over Present Health Research Domain

机译:基于机器学习的医学信息分析,当前健康研究领域的估计和近似

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The concept of Artificial Intelligence is come into existence recently. This concept is using in all the domains such as medical, industry, software, media out of this the concept of Machine Learning is widely started using in medical domain based on the prediction and analysis got succeed and it is continuing using in Medical domain these days due to many advantages things such as flexibility, can take quick decisions, portability, reliability, user friendly etc. In this paper we are focusing on the mechanism of making the things such as Machine Learning and Artificial Intelligence with health care as a single platform or a single unit for the completion of the task. Some of the technologies which are linked with Machine Learning and Artificial Intelligence to some cloud services namely Apache Spark, IBM Blue mix, Microsoft Azure, No SQL server. This paper gives the detailed information regarding the mechanisms in the health care domain. The devices help in making the better decisions based on the past collected information by the help of the intelligent process mechanism analyzing as well as Big data techniques.
机译:人工智能的概念是最近才出现的。基于此概念,机器学习的概念已在预测和分析获得成功的基础上在医学领域广泛使用,并且近来一直在医学领域继续使用由于具有很多优势,例如灵活性,可以快速做出决定,可移植性,可靠性,用户友好性等事物。在本文中,我们着重研究将诸如机器学习和人工智能之类的事物与医疗保健作为单个平台或一个完成任务的单元。与机器学习和人工智能相关的一些技术与一些云服务有关,这些技术包括Apache Spark,IBM Blue mix,Microsoft Azure和No SQL Server。本文提供了有关卫生保健领域机制的详细信息。这些设备借助智能过程机制分析以及大数据技术,有助于根据过去收集的信息做出更好的决策。

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