Correction: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach
Novel Chandra Das, Probir Kumar Ghosh, Md. Alamgir Hossain, Uddip Acharjee Shuvo, Nipa Rani Talukder, Fatema Khatun, Mohammad Ziaul Islam Chowdhury
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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TopicsArtificial Intelligence in Healthcare · Cancer Research and Treatment · Machine Learning in Healthcare
The Introduction heading has been misspelled. The correct spelling is Introduction.
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- 1Das NC, Ghosh PK, Hossain MA, Shuvo UA, Talukder NR, Khatun F, et al. Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach. P Lo S One. 2025;20(10):e 0335442. doi: 10.1371/journal.pone.0335442 41166313 PMC 12574887 · doi ↗ · pubmed ↗