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Existing datasets available to address crucial problems, such as childmortality and family planning discontinuation in developing countries, are notample for data-driven approaches. This is partly due to disjoint datacollection efforts employed across locations, times, and variations ofmodalities. On the other hand, state-of-the-art methods for small data problemare confined to image modalities. In this work, we proposed a data-levellinkage of disjoint surveys across Sub-Saharan African countries to improveprediction performance of neonatal death and provide cross-domainexplainability.

Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys