Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods-Reference-Cited by-同舟云学术

Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods

Published:2016-08-29 Issue:1 Volume:123 Page:114-121
ISSN:0008-543X
Container-title:Cancer
language:en
Short-container-title:Cancer

Author:

Patel Tejal A.¹²³,Puppala Mamta⁴⁵,Ogunti Richard O.⁴⁵,Ensor Joe E.¹²,He Tiancheng⁴⁵,Shewale Jitesh B.⁶,Ankerst Donna P.⁷⁸,Kaklamani Virginia G.⁹,Rodriguez Angel A.¹²³,Wong Stephen T. C.²⁴⁵¹⁰¹¹,Chang Jenny C.¹²³

Affiliation:

1. Houston Methodist Cancer Center; Houston Texas

2. Cancer Research Program; Houston Methodist Research Institute; Houston Texas

3. Department of Medicine; Weill Cornell Medicine; New York New York

4. Department of Informatics Development; Houston Methodist Hospital; Houston Texas

5. Department of Systems Medicine and Bioengineering; Houston Methodist Research Institute; Houston Texas

6. Department of Epidemiology; Human Genetics & Environmental Sciences, University of Texas School of Public Health, Houston, Texas

7. Department of Urology; University of Texas Health Science Center at San Antonio; San Antonio Texas

8. Department of Mathematics; Technical University of Munich; Garching Germany

9. Division of Hematology Oncology CTRC; University of Texas Health Science Center San Antonio, San Antonio, Texas

10. Department of Radiology, Neurology, and Neuroscience; Weill Cornell Medicine; New York New York

11. Department of Pathology and Laboratory Medicine; Weill Cornell Medicine; New York New York

Publisher

Wiley

Subject

Cancer Research,Oncology

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