A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2D
Abstract Background and objective The diagnosis of rare diseases (RDs) is often challenging due to their rarity, variability and the high number of individual RDs, resulting in a delay in diagnosis with adverse effects for patients and healthcare systems. The development of computer assisted diagnos...
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| Главные авторы: | , , , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2023-03-01
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| Серии: | Orphanet Journal of Rare Diseases |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1186/s13023-023-02663-z |
| Метки: |
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