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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2410.12804 |
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| _version_ | 1866910655851790336 |
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| author | O'Connor, Alison N. Ryan, Stephen E. Vaidya, Gauri Harford, Paul Kshirsagar, Meghana |
| author_facet | O'Connor, Alison N. Ryan, Stephen E. Vaidya, Gauri Harford, Paul Kshirsagar, Meghana |
| contents | Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work we outline an ongoing project that aims to optimise healthcare resources using agent-based simulations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_12804 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hip Fracture Patient Pathways and Agent-based Modelling O'Connor, Alison N. Ryan, Stephen E. Vaidya, Gauri Harford, Paul Kshirsagar, Meghana Computers and Society Machine Learning Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work we outline an ongoing project that aims to optimise healthcare resources using agent-based simulations. |
| title | Hip Fracture Patient Pathways and Agent-based Modelling |
| topic | Computers and Society Machine Learning |
| url | https://arxiv.org/abs/2410.12804 |