Big data analysis-A new revolution in cancer management

Saurabh Kumar Gupta, Sudhanshu Mishra, Shalini Yadav, Smriti Ojha, Shivkanya Fuloria, Sonali Sundram

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

"Big data" refers to huge datasets that can be utilized as problem solver practice in various carcinomas. It has provoked people's imagination over the past 20 years because of the enormous potential it has. Big data is created, stored, and analyzed by people and private organizations in order to improve the services they provide. Hospital records, patient medical records, medical examination findings, and internet of things devices are just a few examples of big data sources in the healthcare system. To get useful information from this data, it must be properly managed and analyzed. Otherwise, finding a solution through studying vast data is akin to looking for a needle in a haystack. Each phase of processing large data comes with its own set of obstacles that can only be overcome by adopting high-end computing solutions for big data analysis. As a result, healthcare providers must be fully equipped with sufficient infrastructure to create and access big data in order to deliver possible solutions for maintaining public health. Modern healthcare organizations may be able to restructure medical therapies and personalized medicine through a good correlation of biomedical and healthcare data. Big data analytics, especially in data-rich sectors like cancer, have enormous promise to enhance risk classification.

Original languageEnglish
Title of host publicationBig Data in Oncology
Subtitle of host publicationImpact, Challenges, and Risk Assessment
PublisherRiver Publishers
Pages1-22
Number of pages22
ISBN (Electronic)9788770228121
ISBN (Print)9788770228138
StatePublished - 12 Aug 2023
Externally publishedYes

Keywords

  • Big Data Analytics
  • Cancer
  • Healthcare
  • Internet of Things
  • Personalized Medicine

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