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AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification
Artificial intelligence (AI)-aided general clinical diagnosis is helpful to primary clinicians. Machine learning approaches have problems of generalization, interpretability, etc. Dynamic Uncertain Causality Graph (DUCG) based on uncertain casual knowledge provided by clinical experts does not have...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800413/ https://www.ncbi.nlm.nih.gov/pubmed/35125607 http://dx.doi.org/10.1007/s10462-021-10109-w |