  Existing datasets available to address crucial problems, such as child
mortality and family planning discontinuation in developing countries, are not
ample for data-driven approaches. This is partly due to disjoint data
collection efforts employed across locations, times, and variations of
modalities. On the other hand, state-of-the-art methods for small data problem
are confined to image modalities. In this work, we proposed a data-level
linkage of disjoint surveys across Sub-Saharan African countries to improve
prediction performance of neonatal death and provide cross-domain
explainability.
