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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032527811 ISBN 13: 9781032527819
Condition: New.
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ADVANCES OF MACHINE LEARNING FOR KNOWLEDGE MINING IN ELECTRONIC HEALTH RECORDS (HB 2025)
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: New.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Fine.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: New.
-
Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: New.
-
Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: New.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 138.34
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: As New. Unread book in perfect condition.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 166.01
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 189.05
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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International EditionADVANCES OF MACHINE LEARNING FOR KNOWLEDGE MINING IN ELECTRONIC HEALTH RECORDS (HB 2025)
Language: English
Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Hardcover. Condition: Brand New. 304 pages. 9.18x6.12x9.21 inches. In Stock.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records (Paperback)
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032527811 ISBN 13: 9781032527819
Paperback. Condition: new. Paperback. The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data.Explains the design of organized, semi-structured, unstructured, and irregular time series data of electronic health recordsCovers information extraction, standards for meta-data, reuse of metadata for clinical research, and organized and unstructured dataDiscusses supervised and unsupervised learning in electronic health recordsDescribes clustering and classification techniques for organized, semi- structured, and unstructured data from electronic health recordsThis book is an essential resource for researchers and professionals in fields like computer science, biomedical engineering, and information technology, seeking to enhance healthcare efficiency, security, and privacy through advanced data analytics and machine learning. The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records (Paperback)
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032527811 ISBN 13: 9781032527819
Paperback. Condition: new. Paperback. The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data.Explains the design of organized, semi-structured, unstructured, and irregular time series data of electronic health recordsCovers information extraction, standards for meta-data, reuse of metadata for clinical research, and organized and unstructured dataDiscusses supervised and unsupervised learning in electronic health recordsDescribes clustering and classification techniques for organized, semi- structured, and unstructured data from electronic health recordsThis book is an essential resource for researchers and professionals in fields like computer science, biomedical engineering, and information technology, seeking to enhance healthcare efficiency, security, and privacy through advanced data analytics and machine learning. The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records (Hardcover)
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Hardcover. Condition: new. Hardcover. The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data.Explains the design of organized, semi-structured, unstructured, and irregular time series data of electronic health recordsCovers information extraction, standards for meta-data, reuse of metadata for clinical research, and organized and unstructured dataDiscusses supervised and unsupervised learning in electronic health recordsDescribes clustering and classification techniques for organized, semi- structured, and unstructured data from electronic health recordsThis book is an essential resource for researchers and professionals in fields like computer science, biomedical engineering, and information technology, seeking to enhance healthcare efficiency, security, and privacy through advanced data analytics and machine learning. The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. P. Mohamed Fathimal is working as an Assistant Professor in the Department of Computer Science and Engineering, Anna University. She received her PhD, ME, and BE in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelve.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 192.47
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Language: English
Published by Chapman And Hall/CRC, 2025
ISBN 10: 1032526106 ISBN 13: 9781032526102
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis.
