Pediatric and Lifespan Data Science
First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23–24, 2024, Revised Selected Papers
| dc.contributor.editor | Ehwerhemuepha, Louis | |
| dc.contributor.editor | Hoffman, Mark | |
| dc.contributor.editor | Kalawi, Adam | |
| dc.contributor.editor | Sanger, Terence | |
| dc.date.accessioned | 2025-11-25T06:24:02Z | |
| dc.date.available | 2025-11-25T06:24:02Z | |
| dc.date.issued | 2025 | |
| dc.date.submitted | 2025-05-13T08:23:44Z | |
| dc.identifier | ONIX_20250513_9783031883460_8 | |
| dc.identifier | https://library.oapen.org/handle/20.500.12657/101649 | |
| dc.identifier.uri | https://doab-dev.siscern.org/handle/20.500.12854/205343 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.relation.ispartofseries | Communications in Computer and Information Science | |
| dc.rights | open access | |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence | |
| dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning | |
| dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKM Clinical psychology | |
| dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKD Paediatric medicine | |
| dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues | |
| dc.subject.other | Data Science | |
| dc.subject.other | Artificial Intelligence | |
| dc.subject.other | Machine Learning | |
| dc.subject.other | Healthcare | |
| dc.subject.other | Pediatrics | |
| dc.subject.other | Lifespan | |
| dc.subject.other | Real World Data | |
| dc.title | Pediatric and Lifespan Data Science | |
| dc.title.alternative | First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23–24, 2024, Revised Selected Papers | |
| dc.type | book | |
| oapen.identifier.doi | 10.1007/978-3-031-88346-0 | |
| oapen.relation.isPublishedBy | 9fa3421d-f917-4153-b9ab-fc337c396b5a | |
| oapen.relation.isFundedBy | bde3e51d-be4e-4555-b9f3-ce4ec7eb1ac4 | |
| oapen.relation.isbn | 9783031883460 | |
| oapen.relation.isbn | 9783031883453 | |
| oapen.imprint | Springer Nature Switzerland | |
| oapen.pages | 89 | |
| oapen.place.publication | Cham | |
| oapen.grant.number | [...] | |
| dc.relationisFundedBy | bde3e51d-be4e-4555-b9f3-ce4ec7eb1ac4 | |
| dc.seriesnumber | 2386 |
Fichier(s) constituant ce document
| Fichiers | Taille | Format | Vue |
|---|---|---|---|
|
Il n'y a pas de fichiers associés à ce document. |
|||

