Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.
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| Title: | Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning. |
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| Authors: | Alkan M; School of Computing Science, University of Glasgow, Glasgow, Scotland, UK., Veldtman G; Golden Jubilee National Hospital, Glasgow, Scotland, UK.; Helen DeVos Children's Hospital, Corewell Health, Hospital, Michigan, USA., Deligianni F; School of Computing Science, University of Glasgow, Glasgow, Scotland, UK. fani.deligianni@glasgow.ac.uk. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 19; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-38687-1 |
