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Prediction Models - Development, Evaluation, and Clinical Application

delete2020-04-23
delete77
PRE
AI
M
Michael Pencina *
B
Benjamin A. Goldstein
R
Ralph B. D’Agostino
DOI:10.1056/NEJMp2000589delete
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摘要

摘要

En 中文
Prediction models' newfound importance and the emergence of model development based on machine learning raise questions about how to ensure their safety and efficacy, given their growing role in risk stratification, care pathways, and clinical outcomes.
Keyword:
RISK
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

New England Journal of Medicine 封面图
New England Journal of Medicine
IF:
78.5
论文数:
2.7W
被引数:
39.7W

机构

D
Duke University
学者数:
6.3W
论文数: 5.7W
被引数: 6.5W
B
boston university
学者数:
3.8W
论文数: 3.2W
被引数: 67
引用论文

引用论文

2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines2013 ACC/AHA心血管风险评估指南美国心脏病学会/美国心脏协会实践指南工作组报告
err2014-06-24
err2.3K
errOAAI
errGoff, David C., Jr.; Lloyd-Jones, Donald M.; Bennett, Glen; Coady, Sean; D'Agostino, Ralph B.; Gibbons, Raymond; Greenland, Philip; Lackland, Daniel T.; Levy, Daniel; O'Donnell, Christopher J.; Robinson, Jennifer G.; Schwartz, J. Sanford; Shero, Susan T.; Smith, Sidney C., Jr.; Sorlie, Paul; Stone, Neil J.; Wilson, Peter W. F.
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