在医疗保健中使用数据科学

I. Ponomarenko, Oleksandra Lubkovska
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摘要

该研究的主题是在医疗保健领域使用数据科学方法进行综合数据处理和分析的可能性,以优化经济和专业流程。写这篇文章的目的是在从各种来源获得的综合信息的基础上,解决与在医疗保健领域使用数据科学方法的具体问题。研究方法是系统结构分析和比较分析(研究bi系统在处理大型数据集过程中的应用);专著(商业智能市场上各种软件解决方案的研究);经济分析(当评估使用商业智能系统来加强公司竞争地位的可能性时)。科学新颖性是医学领域关键过程数据的主要来源。介绍了在数字化背景下日益普及的卫生保健领域收集信息的创新方法的实例。揭示了数据科学在卫生保健领域使用的主要数据来源。在市场参与者之间竞争加剧和人口对相关产品需求增加的情况下,介绍了机器学习方法在医疗保健领域的具体应用。由于数字化数据(统计、文本信息、可视化等)的增加,数据科学在医疗领域的整合程度越来越高。通过使用机器学习方法,医生和其他卫生专业人员有新的机会来提高整个卫生保健系统的效率。关键词:数据科学,效率,信息,机器学习,医学,Python,医疗保健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using of data science in healthcare
The subject of the research is the approach to the possibility of using data science methods in the field of health care for integrated data processing and analysis in order to optimize economic and specialized processes The purpose of writing this article is to address issues related to the specifics of the use of Data Science methods in the field of health care on the basis of comprehensive information obtained from various sources. Methodology. The research methodology is system-structural and comparative analyzes (to study the application of BI-systems in the process of working with large data sets); monograph (the study of various software solutions in the market of business intelligence); economic analysis (when assessing the possibility of using business intelligence systems to strengthen the competitive position of companies). The scientific novelty the main sources of data on key processes in the medical field. Examples of innovative methods of collecting information in the field of health care, which are becoming widespread in the context of digitalization, are presented. The main sources of data in the field of health care used in Data Science are revealed. The specifics of the application of machine learning methods in the field of health care in the conditions of increasing competition between market participants and increasing demand for relevant products from the population are presented. Conclusions. The intensification of the integration of Data Science in the medical field is due to the increase of digitized data (statistics, textual informa- tion, visualizations, etc.). Through the use of machine learning methods, doctors and other health professionals have new opportunities to improve the efficiency of the health care system as a whole. Key words: Data science, efficiency, information, machine learning, medicine, Python, healthcare.
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