Reply: Improving Care for Patients with Interstitial Lung Disease, Using Machine Learning, Requires Transparency and Reproducibility

被引：0
|
作者：
Kennedy, Giulia C. [1 ]
Barth, Neil M. [1 ]
Walsh, P. Sean [1 ]
Huang, Jing [1 ]
Pankratz, Daniel G. [1 ]
Choi, Yoonha [1 ]
Fedorowicz, Grazyna M. [1 ]
Anderson, Jessica D. [1 ]
Raghu, Ganesh [2 ]
Martinez, Fernando J. [3 ]
Colby, Thomas V. [4 ]
Lynch, David A. [5 ]
Brown, Kevin K. [5 ]
Groshong, Steve D. [5 ]
Myers, Jeffrey L. [6 ]
Flaherty, Kevin R. [7 ]
Steele, Mark P. [8 ]
机构：
[1] Veracyte Inc, San Francisco, CA 94080 USA
[2] Univ Washington, Med Ctr, Seattle, WA 98195 USA
[3] Weill Cornell Med Coll, New York, NY USA
[4] Mayo Clin, Scottsdale, AZ USA
[5] Natl Jewish Hlth, Denver, CO USA
[6] Univ Michigan, Sch Med, Ann Arbor, MI USA
[7] Univ Michigan Hlth Syst, Ann Arbor, MI USA
[8] WG Hefner Vet Affairs Med Ctr, Salisbury, NC USA
来源：
ANNALS OF THE AMERICAN THORACIC SOCIETY | 2017年 / 14卷 / 12期
关键词：
PNEUMONIA;
D O I：
10.1513/AnnalsATS.201708-654LE
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
引用
收藏
页码：1864 / +
页数：3
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