Machine Intelligence in Africa: a survey
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …
Development of a diagnostic predictive model for determining child stunting in Malawi: a comparative analysis of variable selection approaches
Background Childhood stunting is a major indicator of child malnutrition and a focus area of
Global Nutrition Targets for 2025 and Sustainable Development Goals. Risk factors for …
Global Nutrition Targets for 2025 and Sustainable Development Goals. Risk factors for …
[HTML][HTML] Hybrid Machine Learning for Stunting Prevalence: A Novel Comprehensive Approach to Its Classification, Prediction, and Clustering Optimization in Aceh …
Stunting remains a significant public health issue in Aceh, Indonesia, and is influenced by
various socio-economic and environmental factors. This study aims to address key …
various socio-economic and environmental factors. This study aims to address key …
Predicting harmful alcohol use prevalence in Sub-Saharan Africa between 2015 and 2019: Evidence from population-based HIV impact assessment
M Goma, WF Ng'ambi, C Zyambo - Plos one, 2024 - journals.plos.org
Introduction Harmful alcohol use is associated with significant risks to public health
outcomes worldwide. Although data on harmful alcohol use have been collected by …
outcomes worldwide. Although data on harmful alcohol use have been collected by …
Health and Socio-Demographic Risk Factors of Childhood Stunting: Assessing the Role of Factor Interactions Through the Development of an AI Predictive Model
Stunting is a significant global health problem, especially in developing countries such as
Indonesia. This study aims to develop and evaluate an artificial intelligence (AI)-based …
Indonesia. This study aims to develop and evaluate an artificial intelligence (AI)-based …
Machine Learning Model For Stunting Prediction
S Sutarmi, W Warijan, T Indrayana… - Jurnal Health …, 2023 - jurnal.healthsains.co.id
This study aims to find the best Supervised Machine Learning (SML) model for stunting
prediction. This research was conducted using an experimental approach using 192 infant …
prediction. This research was conducted using an experimental approach using 192 infant …
Child stunting prevalence determination at sector level in Rwanda using small area estimation
Background Stunting among children under 5 years of age remains a worldwide concern,
with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic …
with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic …
IDENTIFIKASI KEBUTUHAN INFORMASI STUNTING BAGI REMAJA
Permasalahan stunting merupakan hal yang tidak bisa dianggap remeh. Dampak stunting
bagi masa depan generasi penerus sangat luar biasa, bukan hanya fisik namun juga …
bagi masa depan generasi penerus sangat luar biasa, bukan hanya fisik namun juga …
Türkiye'de E-Ticaretin Kullanılma Durumunun Makine Öğrenmesi İle Sınıflandırılması ve Çeşitli Değişkenlerle İlişkilerinin Analizi
Bu çalışmada, Türkiye İstatistik Kurumu'nun (TÜİK) 2023 yılında gerçekleştirdiği Hanehalkı
Bilişim Teknolojileri Kullanımı Araştırması (HBTKA) verileri kullanılarak, e-ticaret kullanım …
Bilişim Teknolojileri Kullanımı Araştırması (HBTKA) verileri kullanılarak, e-ticaret kullanım …
Predicting stunting in Rwanda using artificial neural networks: a demographic health survey 2020 analysis
S NDAGIJIMANA, I KABANO, E MASABO… - …, 2024 - f1000research.com
Background Stunting is a serious public health concern in Rwanda, affecting around 33.3%
of children under the age of five in 2020. Several examples of research have employed …
of children under the age of five in 2020. Several examples of research have employed …