网络抓取在制药行业的使用

Q2 Computer Science
Ruby Dahiya, None Nidhi, Kajal Kumari, Shruti Kumari, Nidhi Agarwal
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 OBJECTIVES: Find a group that is a health check, a full body test, a blood test, and so on. In this way, the pharmaceutical industry should consider how to improve information, information storage, information retrieval, and capture. For example, the healthcare system may decide to standardize the assessment of speech and allow information to be shared across organizations to improve treatment outcomes in web scraping applications.
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 RESULTS: As is clearly visible from the output, there are columns for drug names, manufacturers, drug types, and prices. This is the information we get from a website called Net meds, a pharmacy site. With the help of this information, we learn which drugs are most needed, and then we can find the most common diseases today.
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 RESULTS: As is clearly visible from the output, there are columns for drug names, manufacturers, drug types, and prices. This is the information we get from a website called Net meds, a pharmacy site. With the help of this information, we learn which drugs are most needed, and then we can find the most common diseases today.
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引用次数: 0

摘要

简介:网络抓取是一种为组织提供分析大量信息和收集新信息的能力的技术。& # x0D;目的:找到一个健康检查,全身检查,血液检查等组。在这种情况下,制药行业应该考虑如何改进信息、信息存储、信息检索和捕获。例如,医疗保健系统可能决定标准化语音评估,并允许跨组织共享信息,以改善网络抓取应用程序的治疗结果。 方法:网络抓取是基于制药行业。从这里,我们可以得到关于药店的信息,比如不同类别的药品名称或药品销售情况。然而,我们处理的是疾病和普通药物。利用这些信息,我们可以找到最常见的病毒。在为制药行业创建垃圾网站时,有许多因素需要考虑,例如药品名称,片剂类别和制药行业中发现的糖浆。 结果:从输出结果中可以清楚地看到,有药品名称、生产企业、药品种类、价格等列。这是我们从一个叫Net medicines的网站上得到的信息,这是一个药店网站。在这些信息的帮助下,我们知道哪些药物是最需要的,然后我们就可以找到今天最常见的疾病。结论:这种网络抓取的结果可能非常有用和强大。然而,该行业在网络抓取和数据提取技术方面的成功取决于清洁化学数据的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Usage of Web Scraping in the Pharmaceutical Sector
INTRODUCTION: Web scraping is a technique that provides organizations with the ability to analyse large amounts of information and gather new information. OBJECTIVES: Find a group that is a health check, a full body test, a blood test, and so on. In this way, the pharmaceutical industry should consider how to improve information, information storage, information retrieval, and capture. For example, the healthcare system may decide to standardize the assessment of speech and allow information to be shared across organizations to improve treatment outcomes in web scraping applications. METHODS: Web scraping is based on the pharmaceutical industry. From here, we get information about pharmacies, such as drug names in different categories or drug sales. However, we are dealing with diseases and common medicines. Using this information, we can find the most common viruses. There are many factors to consider when creating a junk website for the pharmaceutical industry, such as drug names, tablet categories, and syrups found in the pharmaceutical industry. RESULTS: As is clearly visible from the output, there are columns for drug names, manufacturers, drug types, and prices. This is the information we get from a website called Net meds, a pharmacy site. With the help of this information, we learn which drugs are most needed, and then we can find the most common diseases today. CONCLUSION: The results of this web scraping can be very useful and powerful. However, the industry's success in web scraping and data extraction techniques depends on the availability of clean chemical data.
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来源期刊
EAI Endorsed Transactions on Pervasive Health and Technology
EAI Endorsed Transactions on Pervasive Health and Technology Computer Science-Computer Science (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
14
审稿时长
10 weeks
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