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 language | English |
|---|---|
| Title of host publication | Big Data in Oncology |
| Subtitle of host publication | Impact, Challenges, and Risk Assessment |
| Publisher | River Publishers |
| Pages | 1-22 |
| Number of pages | 22 |
| ISBN (Electronic) | 9788770228121 |
| ISBN (Print) | 9788770228138 |
| State | Published - 12 Aug 2023 |
| Externally published | Yes |
Keywords
- Big Data Analytics
- Cancer
- Healthcare
- Internet of Things
- Personalized Medicine