| Description |
1 online resource (1 volume) : illustrations |
| Bibliography |
Includes bibliographical references. |
| Contents |
Chapter 1: What is Artificial Intelligence -- Chapter 2: Data -- Chapter 3: What is Machine learning? -- Chapter 4: Machine learning in healthcare -- Chapter 5: Evaluating learning for intelligence -- Chapter 6: Ethics of intelligence -- Chapter 7: The future of healthcare -- Chapter 8: Case studies. |
| Summary |
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You?ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You?ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. |
| Subject |
Medical care -- Data processing.
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Machine learning.
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Artificial intelligence.
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Artificial Intelligence -- trends |
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Delivery of Health Care -- trends |
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Machine Learning -- trends |
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Big Data |
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Artificial Intelligence |
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Machine Learning |
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Apprentissage automatique. |
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Intelligence artificielle. |
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Soins médicaux -- Informatique. |
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artificial intelligence. |
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Artificial intelligence |
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Machine learning |
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Medical care -- Data processing |
| Added Title |
Machine learning and artificial intelligence for healthcare |
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