Screen LibraryArtificial intelligence for disease diagnosis and prognosis in smart healthcare /
"Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspect...
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| Group Author: | ; ; |
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| Published: |
CRC Press,
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| Publisher Address: | Boca Raton, FL : |
| Publication Dates: | 2023. |
| Literature type: | Book |
| Language: | English |
| Edition: | First edition. |
| Subjects: | |
| Summary: |
"Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book will be postgraduate students and researchers in the broad domain of healthcare technologies"-- |
| Carrier Form: | xiv, 313 pages : illustrations ; 27 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781032168302 1032168307 9781032171265 103217126X |
| Index Number: | R855 |
| CLC: | R319 |
| Call Number: | R319/A791-18 |