病案数据库维护与大数据基因治疗模拟

S. S, N. M, Nivedita Suresh Kumar Nair, S. Kannan
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引用次数: 0

摘要

在目前的情况下,我们面对的最好的测试是物理数据的积累和维护,而不是存储在虚拟环境中的数据。随着时间的推移,我们对获得的数据或数据没有任何限制,这是推动进步的直接后果,需要理解额外的必要性。提出的配置使用了大数据的核心思想,即数据仓库、数据挖掘和机器学习。利用云技术建立分散数据库,实现病历的多边存取。数据的显示和堆叠是通过一个网络界面完成的,这是由医生的设施利用。数据通过REST API发送和获取,REST API充当仓库和前端应用程序之间的仲裁者。仓库(MongoDB)是数据仓库单元,它将作为操作数据库和分析数据库运行。云时代将成为数据挖掘和机器学习算法的变革和准备阶段。数据集被挖掘并交换到apache Spark,用于最后阶段,即用于复制生殖系和体细胞基因治疗的机器学习。要使用的库是Spark MLlib, Tensor Flow, Theano, Keras和Scikit Learn。利用MatPlotlib作为GUI库对准备好的数据进行模拟。这个阶段是简单的非商业和隐含的逻辑实验和指导目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maintenance of Medical Records Database and Simulation of Gene Therapy using Big Data Concepts
In the current circumstance the best test that we confront is the accumulation and upkeep of physical data when contrasted with data put away in a virtual environment. As consistently passes, we have no restrictions for the data or data we get and this is an immediate aftereffect of the propelling advancement and the need to comprehend the necessity for extra. The proposed configuration uses focal thoughts of Big Data, that is, Data warehousing, Data mining and Machine learning. Cloud is utilized to make a dispersed database for multilateral access of medical records. Show and stacking of data is done by means of a web interface, which is utilized by the doctor's facilities. The data is sent and got by means of a REST API which goes about as an arbiter between the warehouse and the front end application. The warehouse (MongoDB), which is particularly offline, is the data warehousing unit which will go about as both the operational database and the analytical database. Cloud Era will go about as the stage for change and preparing of data into clusters for data mining and machine learning algorithms. The data sets are mined and exchanged to apache Spark for the last stage, i.e., Machine Learning for reproducing germ line and somatic gene therapy. The libraries to be utilized are Spark MLlib, Tensor Flow, Theano, Keras and Scikit Learn. The prepared data is mimicked utilizing MatPlotlib as GUI library. This stage is simply non-commercial and is implied for logical experimentation and instructive purposes.
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