Big Data in Oncology: Impact, Challenges, and Risk Assessment
eBook - ePub

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

Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy, Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy

Share book
  1. 448 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

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

Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy, Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy

Book details
Table of contents
Citations

About This Book

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.

Frequently asked questions

How do I cancel my subscription?
Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
Can/how do I download books?
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
What is the difference between the pricing plans?
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
What is Perlego?
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Do you support text-to-speech?
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Is Big Data in Oncology: Impact, Challenges, and Risk Assessment an online PDF/ePUB?
Yes, you can access Big Data in Oncology: Impact, Challenges, and Risk Assessment by Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy, Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy in PDF and/or ePUB format, as well as other popular books in Medicina & Oncologia. We have over one million books available in our catalogue for you to explore.

Information

Year
2023
ISBN
9781000965261
Edition
1
Subtopic
Oncologia

Table of contents