ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2020
Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 12 citations in OpenAlex.
- Artificial Intelligence for Neonatal and Perinatal Mortality Prevention: A Systematic Review of Machine Learning and Deep Learning Applications.Healthcare (Basel, Switzerland) · 2026Review
- A machine learning approach to identify key socio-economic and demographic factors associated with neonatal mortality in Ethiopia.BMC public health · 2026Article
- Understanding drivers of neonatal mortality in Zimbabwe: A machine learning approach using survey data.PLOS global public health · 2026Article
- Predicting severe stunting and its determinants among under-five in Eastern African Countries: A machine learning algorithms.PloS one · 2026Article
- Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis.BMC public health · 2025Article
- Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025.BMC medical informatics and decision making · 2025Article
- Predicting home delivery and identifying its determinants among women aged 15-49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016-2023: a machine learning algorithm.BMC public health · 2025Article
- Individual and community-level determinants of neonatal mortality in Somalia: a multilevel analysis of the 2018-2019 demographic and health survey.Frontiers in pediatrics · 2025Article
- Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms.PloS one · 2025Article
- Population modifiable risk factors associated with neonatal mortality in 35 sub-Saharan Africa countries: analysis of data from demographic and health surveys.EClinicalMedicine · 2024Article
- Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.Scientific reports · 2024Article
- Predicting facility-based delivery in Zanzibar: The vulnerability of machine learning algorithms to adversarial attacks.Heliyon · 2023Article
- Silent Tears of Midwives: 'I Want Every Mother Who Gives Birth to Have Her Baby Alive'-A Narrative Inquiry of Midwives Experiences of Very Early Neonatal Death from Tanzania.Children (Basel, Switzerland) · 2023Article
- Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania.BMJ global health · 2023Article
- Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach.BMC medical informatics and decision making · 2023Article
- Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study.Maternal and child health journal · 2022Article
- Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar.Frontiers in digital health · 2022Article
- Successes and Misses of Global Health Development: Detecting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational ScienceArticle
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed at identifying the factors associated with neonatal mortality. We analyzed the Demographic and Health Survey (DHS) datasets from 10 Sub-Saharan countries. For each survey, we trained machine learning models to identify women who had experienced a neonatal death within the 5 years prior to the survey being administered. We then inspected the models by visualizing the features that were important for each model, and how, on average, changing the values of the features affected the risk of neonatal mortality. We confirmed the known positive correlation between birth frequency and neonatal mortality and identified an unexpected negative correlation between household size and neonatal mortality. We further established that mothers living in smaller households have a higher risk of neonatal mortality compared to mothers living in larger households; and that factors such as the age and gender of the head of the household may influence the association between household size and neonatal mortality.
Indexed as
Identifiers
33936472PMC8075462W3159711430What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.