Big Data in Oncology: Impact, Challenges, and Risk Assessment (River Publishers Series in Biomedical Engineering) / Fuloria, Neeraj Kumar (EDT)/ Malviya, Rishabha (EDT)/ Verma, Swati (EDT)

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Big Data in Oncology: Impact, Challenges, and Risk Assessment (River Publishers Series in Biomedical Engineering)

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Big Data in Oncology: Impact, Challenges, and Risk Assessment (River Publishers Series in Biomedical Engineering)

Fuloria, Neeraj Kumar (EDT)/ Malviya, Rishabha (EDT)/ Verma, Swati (EDT)

ウェブストア価格 ¥31,257（本体¥28,416）
River Publishers（2023/12発売）
外貨定価 US$ 150.00
ポイント 284pt

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製本 Hardcover:ハードカバー版／ページ数 448 p.
言語 ENG
商品コード 9788770228138
DDC分類 616.99400285

Full Description

We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management.

This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy.

Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care.
Description of the application of big data with AI to discover new targeting points for cancer treatment.
Summary of several risk assessments in the field of oncology using big data.
Focus on prediction of doses in oncology using big data

The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.

1. Big Data Analysis - A New Revolution in Cancer Management 2. Implications of Big Data in the Targeted Therapy of Cancer 3. Big Data and Precision Oncology in Health Care 4. Big Data in Oncology: Extracting Knowledge from Machine Learning 5. Impact of Big Data on Cancer Care and Research 6. Big Data in Disease Diagnosis and Health Care 7. Big Data as a Source of Innovation for Disease Diagnosis 8. Various Cancer Analyses Using Big Data Analysis Technology - An Advanced Approach 9. Dose Prediction in Oncology Using Big Data 10. Big Data in Drug Discovery, Development and Pharmaceutical Care 11. Targeted Drug Delivery in Cancer Tissue by Utilizing Big Data Analytics 12. Risk Assessment in the Field of Oncology Using Big Data 13. Challenges for Big Data in Oncology