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Évaluation des performances des protocoles de routage à l'aide de modèles de mobilité (French Edition)
Published by Editions Notre Savoir, 2024
ISBN 10: 6207957504 ISBN 13: 9786207957507
Language: French
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 30.94
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Bewertung der Leistung von Routing-Protokollen anhand von Mobilitätsmodellen (German Edition)
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Évaluation des performances des protocoles de routage à l'aide de modèles de mobilité (French Edition)
Published by Editions Notre Savoir, 2024
ISBN 10: 6207957504 ISBN 13: 9786207957507
Language: French
£ 33.74
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Valutazione delle prestazioni dei protocolli di routing utilizzando modelli di mobilità (Italian Edition)
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Avaliação do desempenho de protocolos de encaminhamento utilizando modelos de mobilidade (Portuguese Edition)
Published by Edições Nosso Conhecimento, 2024
ISBN 10: 6207957520 ISBN 13: 9786207957521
Language: Portuguese
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Evaluating Performance of Routing Protocols using Mobility Models
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 620207745X ISBN 13: 9786202077453
Language: English
Paperback. Condition: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
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£ 47.66
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Avaliação do desempenho de protocolos de encaminhamento utilizando modelos de mobilidade (Portuguese Edition)
Published by Edições Nosso Conhecimento, 2024
ISBN 10: 6207957520 ISBN 13: 9786207957521
Language: Portuguese
£ 33.74
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Optimized Predictive Models in Health Care Using Machine Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Optimized Predictive Models in Health Care Using Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Optimized Predictive Models in Health Care Using Machine Learning
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Optimized Predictive Models in Health Care Using Machine Learning (Hardcover)
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394174624 ISBN 13: 9781394174621
Language: English
Hardcover. Condition: new. Hardcover. OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs. Other essential features of the book include: provides detailed guidance on data collection and preprocessing, emphasizing the importance of collecting accurate and reliable data; explains how to transform raw data into meaningful features that can be used to improve the accuracy of predictive models; gives a detailed overview of machine learning algorithms for predictive modeling in healthcare, discussing the pros and cons of different algorithms and how to choose the best one for a specific application;emphasizes validating and evaluating predictive models;provides a comprehensive overview of validation and evaluation techniques and how to evaluate the performance of predictive models using a range of metrics; discusses the challenges and limitations of predictive modeling in healthcare;highlights the ethical and legal considerations that must be considered when developing predictive models and the potential biases that can arise in those models. Audience The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 141.35
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Optimized Predictive Models in Health Care Using Machine Learning
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Add to basketCondition: New. Sandeep Kumar, PhD, is a professor in the Department of Computer Science and Engineering, K L Deemed to be University, Vijayawada, Andhra Pradesh, India. He has been granted six patents and successfully filed another ten. He has published more than 100 rese.
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Optimized Predictive Models in Health Care Using Machine Learning
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
£ 184.95
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Add to basketCondition: New. 2024. 1st Edition. hardcover. . . . . .
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£ 185.40
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Add to basketCondition: New. 1st edition NO-PA16APR2015-KAP.
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£ 183.79
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Add to basketBuch. Condition: Neu. Neuware - This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications.
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Optimized Predictive Models in Health Care Using Machine Learning (Hardcover)
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394174624 ISBN 13: 9781394174621
Language: English
£ 162.71
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Add to basketHardcover. Condition: new. Hardcover. OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs. Other essential features of the book include: provides detailed guidance on data collection and preprocessing, emphasizing the importance of collecting accurate and reliable data; explains how to transform raw data into meaningful features that can be used to improve the accuracy of predictive models; gives a detailed overview of machine learning algorithms for predictive modeling in healthcare, discussing the pros and cons of different algorithms and how to choose the best one for a specific application;emphasizes validating and evaluating predictive models;provides a comprehensive overview of validation and evaluation techniques and how to evaluate the performance of predictive models using a range of metrics; discusses the challenges and limitations of predictive modeling in healthcare;highlights the ethical and legal considerations that must be considered when developing predictive models and the potential biases that can arise in those models. Audience The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condition: Brand New. 350 pages. 9.33x9.02x0.94 inches. In Stock.
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£ 225.19
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Add to basketCondition: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Optimized Predictive Models in Health Care Using Machine Learning (Hardcover)
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394174624 ISBN 13: 9781394174621
Language: English
£ 234.01
Convert currency£ 27.55 shipping from Australia to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs. Other essential features of the book include: provides detailed guidance on data collection and preprocessing, emphasizing the importance of collecting accurate and reliable data; explains how to transform raw data into meaningful features that can be used to improve the accuracy of predictive models; gives a detailed overview of machine learning algorithms for predictive modeling in healthcare, discussing the pros and cons of different algorithms and how to choose the best one for a specific application;emphasizes validating and evaluating predictive models;provides a comprehensive overview of validation and evaluation techniques and how to evaluate the performance of predictive models using a range of metrics; discusses the challenges and limitations of predictive modeling in healthcare;highlights the ethical and legal considerations that must be considered when developing predictive models and the potential biases that can arise in those models. Audience The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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£ 48.30
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Evaluating Performance of Routing Protocols using Mobility Models
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 620207745X ISBN 13: 9786202077453
Language: English
£ 27.85
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pawar LokeshThe Author has done Post Graduation from Kurukshetra University in 2012, since then he is doing research in various fields of computer networks and processor clocks. Co-author has done his Post Grad, from Panjab Universit.
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?valuation des performances des protocoles de routage ? l'aide de mod?les de mobilit? (French Edition)
Published by Editions Notre Savoir, 2024
ISBN 10: 6207957504 ISBN 13: 9786207957507
Language: French
£ 52.84
Convert currency£ 6.87 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
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Condition: New. Print on Demand.
