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Pediatric and Lifespan Data Science
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This open access book will address the unique requirements and technological tools for analysis of data across the lifespan, from childhood through advanced age. Topics such as sepsis, hospital-acquired infections, mental health, health equity, precision medicine, large language models and generative artificial intelligence, computer vision, ethical use of artificial intelligence, and large real-world electronic health record databases will be covered.
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Keywords
- artificial intelligence
- Data science
- Healthcare
- Lifespan
- Machine learning
- Pediatrics
- real world data
Links
DOI: 10.1007/978-3-031-88346-0Editions