Screen LibraryMachine learning approaches and applications in applied intelligence for healthcare data analytics /
"In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informati...
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| Group Author: | ; ; ; |
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| Published: |
CRC Press,
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| Publisher Address: | Boca Raton, FL : |
| Publication Dates: | 2022. |
| Literature type: | Book |
| Language: | English |
| Series: |
Innovations in big data and machine learning
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| Subjects: | |
| Summary: |
"In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on the diversity and complexity. Machine Learning Approaches and Applications Applied Intelligence for Healthcare Data Analytics presents a variety of techniques design to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design, along with interdisciplinary challenges. This book is useful to research scholars and students involved in critical condition analysis and computation models"-- |
| Carrier Form: | xv, 224 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780367676339 9780367676346 |
| Index Number: | R858 |
| CLC: | R319 |
| Call Number: | R319/M149-4 |