Literature DB >> 32497407

DXA measured body composition predicts blood pressure using machine learning methods.

Tanmay Nath1, Rexford S Ahima2, Prasanna Santhanam2.   

Abstract

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Year:  2020        PMID： 32497407      PMCID： PMC8030107          DOI： 10.1111/jch.13914

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN： 1524-6175            Impact factor:   3.738


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  5 in total

1.  Association of Blood Pressure Lowering With Mortality and Cardiovascular Disease Across Blood Pressure Levels: A Systematic Review and Meta-analysis.

Authors:  Mattias Brunström; Bo Carlberg
Journal:  JAMA Intern Med       Date:  2018-01-01       Impact factor: 21.873

2.  Ethnic Disparities in Blood Pressure: A Population-based Study.

Authors:  Shu Chu Chen; Tsai Chang Lo; Jui Hsien Chang; Hsien Wen Kuo
Journal:  J Immigr Minor Health       Date:  2017-12

3.  Relationship between Clinic and Ambulatory Blood-Pressure Measurements and Mortality.

Authors:  José R Banegas; Luis M Ruilope; Alejandro de la Sierra; Ernest Vinyoles; Manuel Gorostidi; Juan J de la Cruz; Gema Ruiz-Hurtado; Julián Segura; Fernando Rodríguez-Artalejo; Bryan Williams
Journal:  N Engl J Med       Date:  2018-04-19       Impact factor: 91.245

4.  Systolic Blood Pressure Reduction and Risk of Cardiovascular Disease and Mortality: A Systematic Review and Network Meta-analysis.

Authors:  Joshua D Bundy; Changwei Li; Patrick Stuchlik; Xiaoqing Bu; Tanika N Kelly; Katherine T Mills; Hua He; Jing Chen; Paul K Whelton; Jiang He
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

5.  DXA measured body composition predicts blood pressure using machine learning methods.

Authors:  Tanmay Nath; Rexford S Ahima; Prasanna Santhanam
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-06-04       Impact factor: 3.738
  5 in total
  3 in total

1.  DXA measured body composition predicts blood pressure using machine learning methods.

Authors:  Tanmay Nath; Rexford S Ahima; Prasanna Santhanam
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-06-04       Impact factor: 3.738

2.  Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach.

Authors:  Tanmay Nath; Rexford S Ahima; Prasanna Santhanam
Journal:  PLoS One       Date:  2021-03-31       Impact factor: 3.240

3.  Machine learning approach to predicting albuminuria in persons with type 2 diabetes: An analysis of the LOOK AHEAD Cohort.

Authors:  Zeid Khitan; Tanmay Nath; Prasanna Santhanam
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-11-30       Impact factor: 3.738
  3 in total

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