Data-driven diagnostics and disease prediction with AI optimization /
Provides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the conventional and non-conventional methods related to this domain. It also discusses AI-based optimization techniques, Machine Learning models, and Advanced AI, offe...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
London, U.K. ; Cambridge, MA :
Academic Press,
[2026]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Provides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the conventional and non-conventional methods related to this domain. It also discusses AI-based optimization techniques, Machine Learning models, and Advanced AI, offering practical insights, case studies, and optimization strategies to help data scientists and researchers efficiently employ AI in diagnostics and illness prediction in a world where precise diagnostics and early illness prediction may save lives and healthcare resources. |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780443267482 0443267480 |