Bioinformatics Tools and Big Data Analytics for Patient Care
  1. 222 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Book details
Table of contents
Citations

About This Book

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.

Features:

  • Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.
  • Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.
  • Summarizes several strategies, analyses, and optimization methods for patient healthcare.
  • Focuses on drug discovery and development by cloud computing and data-driven research

The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

Frequently asked questions

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.
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.
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.
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.
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.
Yes, you can access Bioinformatics Tools and Big Data Analytics for Patient Care by Rishabha Malviya, Pramod Kumar Sharma, Sonali Sundram, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Rishabha Malviya, Pramod Kumar Sharma, Sonali Sundram, Rajesh Kumar Dhanaraj, Balamurugan Balusamy in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Year
2022
ISBN
9781000638905
Edition
1

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. List of Figures
  7. List of Tables
  8. Preface
  9. Acknowledgments
  10. Editors’ Biographies
  11. List of Contributors
  12. 1 The Role of Bioinformatics Tools and Technologies in Clinical Trials
  13. 2 Bioinformatics Tools and Software in Clinical Research
  14. 3 Computational Biology for Clinical Research
  15. 4 Issues and Challenges Related to Clinical Bioinformatics Tools for Clinical Research
  16. 5 Artificial Intelligence An Emerging Technique in Pharmaceutical and Healthcare Systems
  17. 6 Artificial Intelligence in Healthcare and Its Application in Brain Stroke Diagnosis
  18. 7 Computational Cloud Infrastructure for Patient Care
  19. 8 Advancement in Gene Delivery The Role of Bioinformatics
  20. 9 Drug Development Using Cloud Application
  21. 10 Cloud Application in Drug Development
  22. 11 Framework for Handling Medical Data in Research
  23. Index