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| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867754657898561536 |
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| collection | WordPress RSS FRELIP Feed Integration |
| 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 |