DXA measured body composition predicts blood pressure using machine learning methods

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	1098-1100
Number of pages	3
Journal	Journal of Clinical Hypertension
Volume	22
Issue number	6
DOIs	https://doi.org/10.1111/jch.13914
State	Published - Jun 1 2020

ASJC Scopus subject areas

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title = "DXA measured body composition predicts blood pressure using machine learning methods",

author = "Tanmay Nath and Ahima, {Rexford S.} and Prasanna Santhanam",

year = "2020",

month = jun,

day = "1",

doi = "10.1111/jch.13914",

language = "English (US)",

volume = "22",

pages = "1098--1100",

journal = "Journal of Clinical Hypertension",

issn = "1524-6175",

publisher = "Wiley-Blackwell Publishing Ltd",

number = "6",

}

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T1 - DXA measured body composition predicts blood pressure using machine learning methods

AU - Nath, Tanmay

AU - Ahima, Rexford S.

AU - Santhanam, Prasanna

PY - 2020/6/1

Y1 - 2020/6/1

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DO - 10.1111/jch.13914

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EP - 1100

JO - Journal of Clinical Hypertension

JF - Journal of Clinical Hypertension

SN - 1524-6175

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