Completeness and Timeliness of Notifiable Disease Surveillance Data Submitted by Providers to Public Health Authorities. - Brian E. Dixon; Patrick Lai; Uzay Kirbiyik; Zuoyi Zhang; Debra Revere; Rebecca A. Hills; P. Joseph Gibson; Jennifer L. Williams; Shaun J. Grannis (AMIA, 2015)

Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. - Uzay Kirbiyik; Patrick Lai; Brian E. Dixon; Shaun J. Grannis; Suranga Nath Kasthurirathne (AMIA, 2015)

Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department. - Brian E. Dixon; Zuoyi Zhang; Patrick Lai; Uzay Kirbiyik; Jennifer L. Williams; Rebecca A. Hills; Debra Revere; P. Joseph Gibson; Shaun J. Grannis (BMC Medical Informatics Decis. Mak., 2017)