Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data


Journal article


Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
Journal of Biomedical Informatics, 2017 Mar 30, pp. 160-176

Cite

APA
Kasthurirathne, S. N., Dixon, B. E., Gichoya, J., Xu, H., Xia, Y., Mamlin, B. W., & Grannis, S. J. (2017). Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data. Journal of Biomedical Informatics, 69, 160–176.

Chicago/Turabian
Kasthurirathne, Suranga Nath, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, and Shaun J. Grannis. “Toward Better Public Health Reporting Using Existing off the Shelf Approaches: The Value of Medical Dictionaries in Automated Cancer Detection Using Plaintext Medical Data.” Journal of Biomedical Informatics 69 (March 30, 2017): 160–176.

MLA
Kasthurirathne, Suranga Nath, et al. “Toward Better Public Health Reporting Using Existing off the Shelf Approaches: The Value of Medical Dictionaries in Automated Cancer Detection Using Plaintext Medical Data.” Journal of Biomedical Informatics, vol. 69, Mar. 2017, pp. 160–76.