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

Domaine:

healthcare

Type de record:

dataset
Créateur:
TadCinSpeWel
Éditeur:
arXiv
Hôte:avatar
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. 3 pages

Visit

doi.orgarxiv.org

Tags

Machine Learning (cs.LG)Databases (cs.DB)FOS: Computer and information sciencesFOS: Computer and information sciences

Licenses

arXiv.org perpetual, non-exclusive licensehttp://arxiv.org/licenses/nonexclusive-distrib/1.0/

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