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One sided knot
Language: English
Published by Independently published, 2018
ISBN 10: 1981097228 ISBN 13: 9781981097227
Paperback. Condition: Brand New. 60 pages. 9.00x6.00x0.15 inches. In Stock.
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As the Ganga Flows
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Leaving No Child and No Adolescent Behind: A Global Perspective on Addressing Inclusion through the SDGs (CROP International Poverty Studies)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 44.72
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Leaving No Child and No Adolescent Behind : A Global Perspective on Addressing Inclusion Through the SDGs
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Leaving No Child and No Adolescent Behind : A Global Perspective on Addressing Inclusion Through the SDGs
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Leaving No Child and No Adolescent Behind A Global Perspective on Addressing Inclusion through the SDGs
Language: English
Published by Ibidem-Verlag Haunschild/Schoen gbr, 2021
ISBN 10: 3838215478 ISBN 13: 9783838215471
US$ 73.97
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Add to basketPaperback. Condition: Brand New. 280 pages. 8.27x5.83x0.59 inches. In Stock.
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Condition: As New. Unread book in perfect condition.
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Condition: New.
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Condition: New.
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Condition: New.
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Pr Inc, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Add to basketHardcover. Condition: Brand New. 222 pages. 9.18x6.12x9.00 inches. In Stock.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Leaving No Child and No Adolescent Behind
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. 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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Machine Learning Applications for Data Analysis in Healthcare Systems (Hardcover)
Language: English
Published by Apple Academic Press Inc., Oakville, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Hardcover. Condition: new. Hardcover. This comprehensive exploration investigates the powerful intersection and the ever-changing impact of machine learning techniques on data analysis in healthcare, transforming the way we approach medical challenges, improve patient outcomes, and enhance healthcare systems. The healthcare industry generates an enormous amount of data, from electronic health records and medical imaging to genomic sequencing and wearable devices. However, the true value of this data lies not in its sheer volume but in the insights it can provide. Machine learning algorithms offer the means to unlock the hidden patterns and knowledge within this data, enabling us to make informed decisions, identify high-risk patients, and personalize interventions for better healthcare outcomes. This volume emphasizes the practical implementation of machine learning techniques, supported by real-world case studies and examples. Discusses machine learning and its potential in outbreak prediction, design and development of anti-cancerous drug molecules. Delves into heartbeat classification based on a machine-human interaction model. Looks at role of machine learning in clinical decision-making, predictive modeling, public health management, and more. 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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Machine Learning Applications for Data Analysis in Healthcare Systems (Hardcover)
Language: English
Published by Apple Academic Press Inc., Oakville, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
US$ 176.73
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Add to basketHardcover. Condition: new. Hardcover. This comprehensive exploration investigates the powerful intersection and the ever-changing impact of machine learning techniques on data analysis in healthcare, transforming the way we approach medical challenges, improve patient outcomes, and enhance healthcare systems. The healthcare industry generates an enormous amount of data, from electronic health records and medical imaging to genomic sequencing and wearable devices. However, the true value of this data lies not in its sheer volume but in the insights it can provide. Machine learning algorithms offer the means to unlock the hidden patterns and knowledge within this data, enabling us to make informed decisions, identify high-risk patients, and personalize interventions for better healthcare outcomes. This volume emphasizes the practical implementation of machine learning techniques, supported by real-world case studies and examples. Discusses machine learning and its potential in outbreak prediction, design and development of anti-cancerous drug molecules. Delves into heartbeat classification based on a machine-human interaction model. Looks at role of machine learning in clinical decision-making, predictive modeling, public health management, and more. 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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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 248.57
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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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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning Applications for Data Analysis in Healthcare Systems
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This comprehensive exploration investigates the powerful intersection and the ever-changing impact of machine learning techniques on data analysis in healthcare, transforming the way we approach medical challenges, improve patient outcomes, and enhance healthcare systems. The healthcare industry generates an enormous amount of data, from electronic health records and medical imaging to genomic sequencing and wearable devices. However, the true value of this data lies not in its sheer volume but in the insights it can provide. Machine learning algorithms offer the means to unlock the hidden patterns and knowledge within this data, enabling us to make informed decisions, identify high-risk patients, and personalize interventions for better healthcare outcomes. This volume emphasizes the practical implementation of machine learning techniques, supported by real-world case studies and examples.
