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Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

, , , , , , , , , , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 433-437. IOS Press, (2021)

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Clinical Staff EHR Usability and Satisfaction: Preliminary Results of A Multi-Site, Pre-Post Implementation Evaluation., , , , , , , , and . AMIA, AMIA, (2022)Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up., , , , , , , , , and 3 other author(s). MedInfo, volume 290 of Studies in Health Technology and Informatics, page 433-437. IOS Press, (2021)Implementing an IT-Based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: the mFOCUS Trial., , , , , , , , , and 4 other author(s). AMIA, AMIA, (2020)Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification., , , , , , , and . CoRR, (2023)A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance., , , , and . AMIA, AMIA, (2022)Implementing an IT-Based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: Pre-Implementation Perceptions of Primary Care Providers., , , , , , , , , and 2 other author(s). AMIA, AMIA, (2020)