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TableĀ 4 Data fusion critical aspects

From: Systems and precision medicine approaches to diabetes heterogeneity: a Big Data perspective

Balancing information from different sources or origins
Managing conflicting, contradicting and inconsistent data
Handling missing values
Differentiating between hard and soft data links, i.e. considering the random processes from which the data are generated as subject to the same parameters, or instead accounting just for covariations, dependencies, similarity/dissimilarity etc.
Establishing loss or objective functions and regularization/penalty terms