TY - GEN
T1 - Clinically significant information extraction from radiology reports
AU - Nandhakumar, Nidhin
AU - Sherkat, Ehsan
AU - Milios, Evangelos E.
AU - Gu, Hong
AU - Butler, Michael
N1 - Funding Information:
We would like to extend our gratitude to Jessie Kang from the Department of Medicine for providing us annotation for 50+ radiology reports which helped us to compare the user agreement between annotations. We would also like to thank Palomino System Innovations for their guidance and support provided in this study. Œis research was funded by the Natural Sciences and Engineering Research Council of Canada.
Publisher Copyright:
© 2017 ACM.
PY - 2017/8/31
Y1 - 2017/8/31
UR - http://www.scopus.com/inward/record.url?scp=85030563405&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030563405&partnerID=8YFLogxK
U2 - 10.1145/3103010.3103023
DO - 10.1145/3103010.3103023
M3 - Conference contribution
AN - SCOPUS:85030563405
T3 - DocEng 2017 - Proceedings of the 2017 ACM Symposium on Document Engineering
SP - 153
EP - 162
BT - DocEng 2017 - Proceedings of the 2017 ACM Symposium on Document Engineering
PB - Association for Computing Machinery, Inc
T2 - 17th ACM Symposium on Document Engineering, DocEng 2017
Y2 - 4 September 2017 through 7 September 2017
ER -