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Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.

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Title: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.
Authors: Das, Novel Chandra1 (AUTHOR) Novel.das@icddrb.org, Ghosh, Probir Kumar1 (AUTHOR), Hossain, Md. Alamgir1 (AUTHOR), Shuvo, Uddip Acharjee2 (AUTHOR), Talukder, Nipa Rani3 (AUTHOR), Khatun, Fatema1 (AUTHOR), Chowdhury, Mohammad Ziaul Islam4,5,6 (AUTHOR)
Source: PLoS ONE. 10/30/2025, Vol. 20 Issue 10, p1-34. 34p.
Database: Academic Search Ultimate
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An: 188979335
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  Data: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.
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  Data: <searchLink fieldCode="AR" term="%22Das%2C+Novel+Chandra%22">Das, Novel Chandra</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Novel.das@icddrb.org</i><br /><searchLink fieldCode="AR" term="%22Ghosh%2C+Probir+Kumar%22">Ghosh, Probir Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hossain%2C+Md%2E+Alamgir%22">Hossain, Md. Alamgir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shuvo%2C+Uddip+Acharjee%22">Shuvo, Uddip Acharjee</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Talukder%2C+Nipa+Rani%22">Talukder, Nipa Rani</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khatun%2C+Fatema%22">Khatun, Fatema</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chowdhury%2C+Mohammad+Ziaul+Islam%22">Chowdhury, Mohammad Ziaul Islam</searchLink><relatesTo>4,5,6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 10/30/2025, Vol. 20 Issue 10, p1-34. 34p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188979335
RecordInfo BibRecord:
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        Value: 10.1371/journal.pone.0335442
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        Text: English
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              Text: 10/30/2025
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              Y: 2025
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