No image available
Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in Big Data and Machine Learning) Papeback -
by Abhishek Kumar (Editor); Ashutosh Kumar Dubey (Editor); Sreenatha G. Anavatti (Editor)
- New
- first
A$197.05
A$5.77
Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Standard delivery: 9 to 14 days
Ships from Cold Books (New York, United States)
Details
- Title Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in Big Data and Machine Learning)
- Author Abhishek Kumar (Editor); Ashutosh Kumar Dubey (Editor); Sreenatha G. Anavatti (Editor)
- Binding Papeback
- Condition New
- Pages 224
- Volumes 1
- Language ENG
- Publisher CRC Press
- Publication date First edition Includes biblio
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 6397674239
- ISBN 9780367676346 / 0367676346
- Weight 0.76 lbs (0.34 kg)
- Dimensions 9.21 x 6.14 x 0.51 in (23.39 x 15.60 x 1.30 cm)
- Category Technology & Industrial Arts
- Library of Congress subjects Medical informatics
- Library of Congress Catalogue Number 2021043556
- Dewey Decimal Code 610.285
- Quantity available 4
About Cold Books New York, United States
Reader reviews for Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics (Innovations in Big Data and Machine Learning)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information