Language: English
Published by Independently published, 2018
ISBN 10: 1981097228 ISBN 13: 9781981097227
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 60 pages. 9.00x6.00x0.15 inches. In Stock.
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Language: English
Published by Ibidem Press/Ibidem-Verlag 15 S, 2021
ISBN 10: 3838215478 ISBN 13: 9783838215471
Seller: AwesomeBooks, Wallingford, United Kingdom
Paperback. Condition: Very Good. Leaving No Child and No Adolescent Behind: A Global Perspective on Addressing Inclusion through the SDGs (CROP International Poverty Studies) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Published by Ibidem Press/Ibidem-Verlag 02/p /15 S, 2021
ISBN 10: 3838215478 ISBN 13: 9783838215471
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Paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Ibidem-Verlag Haunschild/Schoen gbr, 2021
ISBN 10: 3838215478 ISBN 13: 9783838215471
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 280 pages. 8.27x5.83x0.59 inches. In Stock.
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Pr Inc, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press Inc., Oakville, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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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Published by Apple Academic Press Inc., Oakville, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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Language: English
Published by Apple Academic Press Inc., Oakville, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
Seller: AussieBookSeller, Truganina, VIC, Australia
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Apple Academic Press, 2025
ISBN 10: 1779643187 ISBN 13: 9781779643186
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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.