Phenotyping severity of patient-centered outcomes using clinical notes: A prostate cancer use case

Conference paper

International Conference on Artificial Intelligence in Medicine, Springer, 2020, pp. 100–110

Cite

APA

Al-Garadi, M. A., Yang, Y.-C., Lakamana, S., Lin, J., Li, S., Xie, A., … Sarker, A. (2020). Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. In International Conference on Artificial Intelligence in Medicine (pp. 100–110). Springer.

Chicago/Turabian

Al-Garadi, Mohammed Ali, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, and Abeed Sarker. “Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes.” In International Conference on Artificial Intelligence in Medicine, 100–110. Springer, 2020.

MLA

Al-Garadi, Mohammed Ali, et al. “Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes.” International Conference on Artificial Intelligence in Medicine, Springer, 2020, pp. 100–10.