Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.
Machine Learning for Healthcare
Handling and Managing Data
Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guideddiscover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.
Read More
This is a digital product.
Additional ISBNs
9780367352332, 9780367625719, 9780429330131
Machine Learning for Healthcare: Handling and Managing Data 1st Edition is written by DacNhuong Le; Abhishek KUMAR; Rashmi Agrawal and published by Chapman & Hall. The Digital and eTextbook ISBNs for Machine Learning for Healthcare are 9781000221886, 1000221881 and the print ISBNs are 9780367816896, 036781689X. Additional ISBNs for this eTextbook include 9780367352332, 9780367625719, 9780429330131.

Media Equities: Evaluation and Trading eBook
The World's Religions: Worldviews and Contemporary Issues, 4th Edition eBook
Adobe Illustrator Classroom in a Book (2023 release), 1st Edition eBook
Thinking Mathematically, 8th Edition eBook
Mediterranean Marine Mammal Ecology and Conservation eBook
Nursing School Entrance Exams Prep 2019-2020 eBook
Functional Safety from Scratch: A Practical Guide to Process Industry Applications eBook
Rock and Pop Venues: Acoustic and Architectural Design eBook
Antidiabetic Agents: Recent Advances in their Molecular and Clinical Pharmacology eBook
Nursing School Entrance Exams eBook
The Good Gut eBook
Towards the Pragmatic Core of English for European Communication: The Speech Act of Apologising in Selected Euro-Englishes eBook
Artificial Immune Systems: 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings eBook
Oceans and Human Health eBook
Ancient Lives: An Introduction to Archaeology and Prehistory, 7th Edition eBook
Music Technology in Live Performance: Tools, Techniques, and Interaction eBook
Turning Points: Decisive Moments in the History of Christianity, 3rd Edition eBook
Anatomical Guide for the Electromyographer The Limbs and Trunk, 5th Edition eBook
Aquaculture: An Introductory Text eBook
African Indigenous Knowledges in a Postcolonial World: Essays in Honour of Toyin Falola, 1st Edition eBook
Advances in Sport and Exercise Psychology, 4th Edition eBook
Transformative Teachers: Teacher Leadership and Learning in a Connected World eBook
The Visible Self: Global Perspectives on Dress, Culture and Society eBook
Applications of AI for Interdisciplinary Research, 1st Edition eBook
Antiphospholipid Syndrome: Current Research Highlights and Clinical Insights eBook
The Bloat Cure eBook
Child Abuse Pocket Atlas, Volume 2 eBook 


Reviews
There are no reviews yet.