Pediatric and Lifespan Data Science
First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23–24, 2024, Revised Selected Papers
Contributor(s)
Ehwerhemuepha, Louis (editor)
Hoffman, Mark (editor)
Kalawi, Adam (editor)
Sanger, Terence (editor)
Language
EnglishAbstract
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.
Keywords
Data Science; Artificial Intelligence; Machine Learning; Healthcare; Pediatrics; Lifespan; Real World DataISBN
9783031883460, 9783031883453Publisher
Springer NaturePublisher website
http://www.springernature.com/oabooksPublication date and place
Cham, 2025Imprint
Springer Nature SwitzerlandSeries
Communications in Computer and Information Science,Classification
Artificial intelligence
Machine learning
Clinical psychology
Paediatric medicine
Medicine: general issues
Pages
89
Except where otherwise noted, this item's license is described
as
open access