Clinical applications of artificial intelligence in real-world data
Publication date
2023-11-05
Authors
Asselbergs, Folkert W
Denaxas, Spiros
Oberski, Daniel
Moore, Jason H.
Editors
Advisors
Supervisors
Document Type
Book
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Abstract
This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
Keywords
Artificial intelligence, Big health data, Biomedical ontologies, Deep learning, Electronic Health Records, Machine learning, General Medicine, General Health Professions, General Nursing, General Biochemistry,Genetics and Molecular Biology, General Agricultural and Biological Sciences, General Computer Science
Citation
Asselbergs, F W, Denaxas, S, Oberski, D L & Moore, J H 2023, Clinical applications of artificial intelligence in real-world data. 1 edn, Springer, Cham. https://doi.org/10.1007/978-3-031-36678-9