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Explainable AI for Malnutrition Risk Prediction from m-Health and Clinical Data
This paper presents a novel AI framework for early and explainable malnutrition risk detection based on heterogeneous m-health data.
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.
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