Big Data in Oncology : Impact, Challenges, and Risk Assessment

Cover -- Half Title -- Series -- Title -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgement -- List of Figures -- List of Tables -- List of Reviewers -- List of Contributors -- List of Abbreviations -- 1 Big Data Analysis - A New Revolution in Cancer Management -- 1.1 Introduction -- 1.2 Big Data for Personalized Medicine -- 1.3 Big Data Analytics in Oncology: Challenges -- 1.3.1 Data acquisition -- 1.3.2 Ensuring representativeness and mitigating bias -- 1.3.3 Sources of big data -- 1.3.3.1 Media -- 1.3.3.2 Cloud -- 1.3.3.3 Web -- 1.3.3.4 Internet of Things (IoT) -- 1.4 Databases -- 1.4.1 National Cancer Databases -- 1.4.2 Cancer genomics databases -- 1.4.3 Commercial-private databases -- 1.4.4 The practical applicability of various sources of big data in cancer care -- 1.5 Inferring Clinical Information with Big Data -- 1.5.1 Utilization of administrative records for cancer care -- 1.5.2 Big data and cancer research -- 1.5.3 FAIR data -- 1.5.4 Cancer genome sequencing of humans -- 1.5.5 High-throughput sequence analysis -- 1.5.6 Sequencing genomes of other organisms -- 1.5.7 Transcriptome analysis for better cancer monitoring -- 1.5.8 Diagnostic modeling and machine learning algorithms -- 1.5.9 Disease prognosis -- 1.6 Correlation of Clinical Data with Cancer Relapses -- 1.7 Conclusion -- 2 Implication of Big Data in Targeted Therapy of Cancer -- 2.1 Introduction -- 2.1.1 Big data in medicine -- 2.1.2 The shifting paradigm in medical research -- 2.2 Changes in Research -- 2.2.1 Changes in study design -- 2.2.2 New study design -- 2.2.3 Umbrella design -- 2.2.4 Platform trials -- 2.2.5 Adverse drug events (ADE) -- 2.2.6 Real-world evidence (RWE) -- 2.3 Big data: technology and security concern -- 2.3.1 Utility of big data -- 2.3.2 Daily diagnostics -- 2.3.3 Quality of care measurements -- 2.3.4 Biomedical research..

Medienart:	E-Book

Erscheinungsjahr:	2023 ©2023
Erschienen:	Milton: River Publishers ; 2023 ©2023
Ausgabe:	1st ed.

Reihe:	River Publishers Series in Biomedical Engineering Series

Sprache:	Englisch

Beteiligte Personen:	Fuloria, Neeraj Kumar [VerfasserIn] Malviya, Rishabha [Mitwirkende/r] Verma, Swati [Mitwirkende/r] Balusamy, Balamurugan [Mitwirkende/r]

Links:	ebookcentral.proquest.com [lizenzpflichtig]

ISBN:	978-1-000-96526-1

Themen:	Oncology

Anmerkungen:	Description based on publisher supplied metadata and other sources

Umfang:	1 online resource (491 pages)

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1868972356