logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics by Pradeep N Sandeep Kautish Sheng-Lung Peng ISBN 9780128216330, 0128216336

  • SKU: EBN-33381074
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.3

15 reviews
Instant download (eBook) Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics after payment.
Authors:Pradeep N Sandeep Kautish Sheng-Lung Peng
Pages:372 pages.
Year:2021
Editon:1
Publisher:Academic Press
Language:english
File Size:43.56 MB
Format:pdf
ISBNS:9780128216330, 0128216336
Categories: Ebooks

Product desciption

(Ebook) Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics by Pradeep N Sandeep Kautish Sheng-Lung Peng ISBN 9780128216330, 0128216336

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products