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Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes b
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ApproximatelyC $68.51
- Buy It NowMachine Learning and AI for Healthcare: Big Data for Improved Health Outcomes b
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Located in: Southport, United Kingdom
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eBay item number:124923428016
Item specifics
- Condition
- ISBN
- 9781484265369
- EAN
- 9781484265369
- Publication Year
- 2020
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Machine Learning and Ai for Healthcare: Big Data for Improved Health Outcomes
- Item Height
- 254mm
- Publisher
- Apress
- Item Width
- 178mm
- Subject
- Computer Science
- Item Weight
- 832g
- Number of Pages
- 407 Pages
About this product
Product Information
This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data. The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things. You will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings. What You Will Learn Understand key machine learning algorithms and their use and implementation within healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Manage the complexities of massive data Be familiar with AI and healthcare best practices, feedback loops, and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Product Identifiers
Publisher
Apress
ISBN-13
9781484265369
eBay Product ID (ePID)
6046680402
Product Key Features
Publication Name
Machine Learning and Ai for Healthcare: Big Data for Improved Health Outcomes
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2020
Type
Textbook
Number of Pages
407 Pages
Dimensions
Item Height
254mm
Item Width
178mm
Item Weight
832g
Additional Product Features
Country/Region of Manufacture
United States
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 186452776
Seller assumes all responsibility for this listing.
eBay item number:124923428016
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| GBP 12.99 (approx C $22.26) | United States | Standard Shipping (Royal Mail International Standard) |
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| Will usually ship within 3 business days of receiving cleared payment. |
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2***k (235)- Feedback left by buyer.
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Great seller - clear communication and description, competitively priced, well wrapped and quickly sent. Ideal!
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Book was as exactly as described and very well packed. Combine this with fast delivery and excellent value for money makes bookaxis a top ebayer. I can definitely recommend and will deal with them again. All in all, an excellent service. 😁 Thumbs up from me! 👍👍
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The book arrived as described. New but the original plastic wrapping was a tad bit tattered but absolutely not an issue. Excellent value for money. Delivery took some time but the book was dispatched on time. Would recommend seller. Thanks!
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