Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes


Conference paper


Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
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.