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arXiv · 2011.12707

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

Girmaw Abebe Tadesse·Celia Cintas·Skyler Speakman·Komminist Weldemariam
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Abstract

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.

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Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam. 2020-11-25. Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys. https://arxiv.org/abs/2011.12707

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