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Explainable AI for clinical and remote health applications: a survey on tabular and time series data. (arXiv:2209.06528v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
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 predictions
and decisions, and they become even more critical when dealing with sensitive
and personal health data. It is worth noting that XAI has not gathered the same
attention across different research areas and data types, especially in …
applications arxiv data explainable ai health remote series survey tabular time series