Publication
IJCAI 2020
Conference paper

Inspection of blackbox models for evaluating vulnerability in maternal, newborn, and child health

Download paper

Abstract

Improving maternal, newborn, and child health (MNCH) outcomes is a critical target for global sustainable development. Our research is centered on building predictive models, evaluating their interpretability, and generating actionable insights about the markers (features) and triggers (events) associated with vulnerability in MNCH. In this work, we demonstrate how a tool for inspecting “black box” machine learning models can be used to generate actionable insights from models trained on demographic health survey data to predict neonatal mortality.

Date

07 Jan 2021

Publication

IJCAI 2020

Authors

Resources

Share