Clinical applications of artificial intelligence in real-world data

Folkert W. Asselbergs; Spiros Denaxas; Daniel L. Oberski; Jason H. Moore

doi:10.1007/978-3-031-36678-9

Clinical applications of artificial intelligence in real-world data

Folkert W. Asselbergs^*, Spiros Denaxas, Daniel L. Oberski, Jason H. Moore

^*Corresponding author for this work

Research output: Book/Report › Book › Academic

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.

Original language	English
Place of Publication	Cham
Publisher	Springer
Number of pages	285
Edition	1
ISBN (Electronic)	9783031366789
ISBN (Print)	9783031366772
DOIs	https://doi.org/10.1007/978-3-031-36678-9
Publication status	Published - 5 Nov 2023

Keywords

Artificial intelligence
Big health data
Biomedical ontologies
Deep learning
Electronic Health Records
Machine learning

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10.1007/978-3-031-36678-9

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AB - 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.

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Clinical applications of artificial intelligence in real-world data

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Keywords

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