Automating Access to Real-World Evidence-Reference-Cited by-同舟云学术

Automating Access to Real-World Evidence

Published:2022-06 Issue:6 Volume:3 Page:100340
ISSN:2666-3643
Container-title:JTO Clinical and Research Reports
language:en
Short-container-title:JTO Clinical and Research Reports

Author:

Gauthier Marie-Pier,Law Jennifer H.,Le Lisa W.,Li Janice J.N.,Zahir Sajda,Nirmalakumar Sharon,Sung Mike,Pettengell Christopher,Aviv Steven,Chu Ryan,Sacher Adrian,Liu Geoffrey,Bradbury Penelope,Shepherd Frances A.,Leighl Natasha B.

Funder

Open Society Institute

Princess Margaret Cancer Foundation

Roche

Publisher

Elsevier BV

Subject

Pulmonary and Respiratory Medicine,Oncology

Reference18 articles.

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4. Comparison of natural language processing and manual coding for the identification of cross-sectional imaging reports suspicious for lung cancer;Wadia;JCO Clin Cancer Inform,2018

5. Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAnes;Zhao;s. BMC Med Inform Decis Mak,2021

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