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Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data

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Published in:Discover Artificial Intelligence (Springer)
Format: Online Article RSS Article
Published: 2026
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container_title Discover Artificial Intelligence (Springer)
description
discipline_display Access Artificial Intelligence and Machine Learning
discipline_facet Access Artificial Intelligence and Machine Learning
format Online Article
RSS Article
genre Journal Article
id rss_article:90051
institution FRELIP
journal_source_facet Discover Artificial Intelligence (Springer)
last_indexed 2026-06-12T02:00:45.559Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
sub_discipline_display General
sub_discipline_facet General
subject_display Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
subject_facet Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
title Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
title_auth Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
title_full Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
title_fullStr Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
title_full_unstemmed Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
title_short Application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using WHO STEPS data
title_sort application of machine learning for hypertension risk prediction across 14 low and lower middle income countries using who steps data
topic Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
url https://link.springer.com/article/10.1007/s44163-026-01440-8