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Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Nowadays Artificial Intelligence (AI) has become a fundamental component of healthcare applications, both clinical and remote, but the best performing AI systems are often too complex to be self-explaining. Explainable AI (XAI) techniques are defined to unveil the reasoning behind the system’s predi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Netherlands
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607788/ https://www.ncbi.nlm.nih.gov/pubmed/36320613 http://dx.doi.org/10.1007/s10462-022-10304-3 |