Call to collaborate on data science for older people across Europe : an EuGMS Big Data special interest group position paper
| dc.contributor.author | Mitchell, Anneka | |
| dc.contributor.author | Ogliari, Giulia | |
| dc.contributor.author | Burton, Jennifer Kirsty | |
| dc.contributor.author | Clegg, Andrew J. | |
| dc.contributor.author | Todd, Oliver | |
| dc.contributor.author | EuGMS Big Data special interest group | |
| dc.contributor.institution | University of Aberdeen.Aberdeen Cardiovascular and Diabetes Centre | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.date.accessioned | 2025-09-22T11:05:02Z | |
| dc.date.issued | 2025-09-18 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 5 | |
| dc.format.extent | 882957 | |
| dc.identifier | 305519363 | |
| dc.identifier | 568adae3-4f1b-44fc-8556-3788d2587bea | |
| dc.identifier | 105018099976 | |
| dc.identifier.citation | Mitchell, A, Ogliari, G, Burton, J K, Clegg, A J, Todd, O & EuGMS Big Data special interest group 2025, 'Call to collaborate on data science for older people across Europe : an EuGMS Big Data special interest group position paper', European Geriatric Medicine. https://doi.org/10.1007/s41999-025-01276-y | en |
| dc.identifier.doi | 10.1007/s41999-025-01276-y | |
| dc.identifier.issn | 1878-7657 | |
| dc.identifier.other | ORCID: /0000-0003-3852-6158/work/192443762 | |
| dc.identifier.uri | https://hdl.handle.net/2164/26053 | |
| dc.identifier.url | https://rdcu.be/eHytc | en |
| dc.identifier.url | https://abdn.elsevierpure.com/en/publications/568adae3-4f1b-44fc-8556-3788d2587bea | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | European Geriatric Medicine | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | Data Science | en |
| dc.subject | Artificial Intelligence | en |
| dc.subject | Older People | en |
| dc.subject | Electronic Health Records | en |
| dc.subject | Routine Data | en |
| dc.subject | R Medicine (General) | en |
| dc.subject.lcc | R1 | en |
| dc.title | Call to collaborate on data science for older people across Europe : an EuGMS Big Data special interest group position paper | en |
| dc.type | Journal item | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Mitchell_etal_EGM_Call_to_Collaborate_AAM.pdf
- Size:
- 862.26 KB
- Format:
- Adobe Portable Document Format
