Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Books | BITS Pilani Hyderabad | 610 | General Stack (For lending) | 610.2856 PAN-A (Browse shelf(Opens below)) | Available | 45863 |
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610.285 RON-R Clinical data management / | 610.285 SAL-A Innovative smart healthcare and bio-medical systems : AI, Intelligent computing, and connected technologies / | 610.2856 KIS-N Computers in medicine / | 610.2856 PAN-A Machine learning and AI for healthcare : big data for improved health outcomes / | 610.28563 NOK-T Artificial intelligence in medical sciences and psychology : with application of machine language, computer vision, and NLP techniques / | 610.289 GAW-A Checklist manifesto : how to get things right / | 610.695 EPS-R Attending : |
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.
What You'll Learn
Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare
Implement machine learning systems, such as speech recognition and enhanced deep learning/AI
Select learning methods/algorithms and tuning for use in healthcare
Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents
Who This Book Is For
Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
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