Determining EGFR and ALK Status in a Population-Based Cancer Registry: A Natural Language Processing Validation Study

被引：1

作者：

Goulart, Bernardo ^{[1
]}

Silgard, Emily ^{[1
]}

Baik, Christina ^{[2
]}

Bansal, Aasthaa ^{[3
]}

Greenwood-Hickman, Mikael ^{[1
]}

Hanson, Annika ^{[1
]}

Ramsey, Scott ^{[1
]}

Schwartz, Stephen ^{[1
]}

机构：

[1] Fred Hutchinson Canc Res Ctr, Hutchinson Inst Canc Outcomes Res, 1124 Columbia St, Seattle, WA 98104 USA

[2] Univ Washington, Div Med Oncol, Thorac Head & Neck Program, Seattle Canc Care Alliance, Seattle, WA 98195 USA

[3] Univ Washington, Pharmaceut Outcomes Res & Policy Program, Seattle Canc Care Alliance, Seattle, WA 98195 USA

来源：

关键词：

molecular testing; Natural Language Processing; Pathology;

D O I：

10.1016/j.jtho.2016.11.2204

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

P3.07-013

引用

页码：S1438 / S1438

页数：1