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Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset.使用来自国家数据集的临床数据,对多种样本量的合成数据集进行训练的机器学习模型,用于预测血压。
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Machine learning approach to predicting albuminuria in persons with type 2 diabetes: An analysis of the LOOK AHEAD Cohort.机器学习方法预测 2 型糖尿病患者白蛋白尿:一项 LOOK AHEAD 队列分析。
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Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach.体脂预测 2 型糖尿病患者的运动能力:一种机器学习方法。
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本文引用的文献

1
Relationship between Clinic and Ambulatory Blood-Pressure Measurements and Mortality.诊室血压测量和动态血压测量与死亡率的关系。
N Engl J Med. 2018 Apr 19;378(16):1509-1520. doi: 10.1056/NEJMoa1712231.
2
Association of Blood Pressure Lowering With Mortality and Cardiovascular Disease Across Blood Pressure Levels: A Systematic Review and Meta-analysis.降压治疗与血压水平相关的死亡率和心血管疾病的关联:系统评价和荟萃分析。
JAMA Intern Med. 2018 Jan 1;178(1):28-36. doi: 10.1001/jamainternmed.2017.6015.
3
Systolic Blood Pressure Reduction and Risk of Cardiovascular Disease and Mortality: A Systematic Review and Network Meta-analysis.收缩压降低与心血管疾病和死亡风险:系统评价和网络荟萃分析。
JAMA Cardiol. 2017 Jul 1;2(7):775-781. doi: 10.1001/jamacardio.2017.1421.
4
Ethnic Disparities in Blood Pressure: A Population-based Study.血压方面的种族差异:一项基于人群的研究。
J Immigr Minor Health. 2017 Dec;19(6):1427-1433. doi: 10.1007/s10903-016-0434-y.

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

作者信息

Nath Tanmay, Ahima Rexford S, Santhanam Prasanna

机构信息

Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

Division of Endocrinology, Diabetes, & Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

出版信息

J Clin Hypertens (Greenwich). 2020 Jun;22(6):1098-1100. doi: 10.1111/jch.13914. Epub 2020 Jun 4.

DOI:10.1111/jch.13914
PMID:32497407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8030107/
Abstract
摘要