Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/31947
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dc.contributor.authorMishra, Ayush Chandra-
dc.contributor.authorChaubey, Ratnesh-
dc.contributor.authorOjha, Smriti-
dc.contributor.authorMishra, Sudhanshu-
dc.contributor.authorSekar, Mahendran-
dc.contributor.authorVerma, Swati-
dc.contributor.author(UniKL RCMP)-
dc.date.accessioned2025-05-07T03:52:26Z-
dc.date.available2025-05-07T03:52:26Z-
dc.date.issued2023-08-
dc.identifier.citationBig data in Oncology: impact, challenges, and risk assessment. (2023, December 30). https://www.riverpublishers.com/book_details.php?book_id=1062en_US
dc.identifier.isbn9788770228121-
dc.identifier.issn9788770228138-
dc.identifier.urihttps://www.riverpublishers.com/book_details.php?book_id=1062-
dc.identifier.urihttps://ir.unikl.edu.my/jspui/handle/123456789/31947-
dc.description.abstractIn this modern era, big data provides an enormous amount of collected data about various diseases in India and throughout the world, which is created by data available in vast diversity, high speed, and volume. Because such data is becoming more prevalent, methods for handling and extracting insights from it must be studied and provided. Furthermore, decision-makers should be able to retrieve important from such a distinct, diverse, and frequently changing dataset, which encompasses everything from ordinary transactions to customer/patient interactions, as well as social media sites and other digital platforms. Big data is viewed as a revolution with the potential to change the way businesses function in a variety of industries. This study investigates the research data available from existing challenges and cases and applies big data analytics to enhance cancer risk categorization. We have divided the input data into three categories: pathology, radiomics, and population health management. Big data provides computational methodologies which will improve clinical risk stratification for cancer patients in a minimum period.en_US
dc.language.isoenen_US
dc.publisherRiver Publishersen_US
dc.subjectBig Dataen_US
dc.subjectCanceren_US
dc.subjectClinical Rill Stratificationen_US
dc.subjectComputational Approachen_US
dc.subjectDatasetsen_US
dc.subjectDiseaseen_US
dc.subjectPredictive Analysisen_US
dc.titleVarious cancer analysis using big data analysis technology-An advanced approachen_US
dc.typeArticleen_US
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