Big Data in Oncology: Impact, Challenges, and Risk Assessment — 2023

📘 Big Data in Oncology: Impact, Challenges, and Risk Assessment — 2023

🔎 Book Overview and Topics

This interdisciplinary research reference surveys the promise and limitations of large clinical, imaging and molecular datasets for improving cancer research.

Topics and Research Coverage

• Oncology data sources, including electronic health records and genomics.
• Data quality, representativeness and missingness.
• Large-scale analytics and machine-learning approaches.
• Clinical decision-support research and prediction models.
• Privacy, security and responsible use of patient information.
• Bias, reproducibility, external validation and risk assessment.

Study Perspective

A high-performing analysis in one dataset is not sufficient to demonstrate clinical usefulness. Readers should evaluate generalizability, ethical requirements and validation when interpreting big-data cancer research.

Who Will Find It Useful?

Cancer data scientists, oncologists, biomedical informaticians, health-system analysts and postgraduate students.

PDF eBook Details

Language: English. Format: Digital PDF reference. This WordPress product is an unpublished draft with one PDF link configured. The edition and complete contents of the linked file still need checking; printed materials, equipment, certificates and standalone online services are not included.

Publisher’s Edition Reference

Editors: Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma and Balamurugan Balusamy.
Publisher: River Publishers.
Publication year: 2023.
eBook ISBN: 9788770228121.

These details identify the published edition represented by the cover. The website’s linked PDF should still be checked against the publisher’s edition before publication.

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