Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. - Mohammed Ali Al-Garadi; Yuan-Chi Yang; Sahithi Lakamana; Jie Lin; Sabrina Li; Angel Xie; Whitney Hogg-Bremer; Mylin Torres; Imon Banerjee; Abeed Sarker (AIME, 2020)

A Light-Weight Text Summarization System for Fast Access to Medical Evidence. - Abeed Sarker; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Aamir Abbas (Frontiers Digit. Health, 2020)

Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource. - Abeed Sarker; Sahithi Lakamana; Whitney Hogg-Bremer; Angel Xie; Mohammed Ali Al-Garadi; Yuan-Chi Yang (J. Am. Medical Informatics Assoc., 2020)

Text classification models for the automatic detection of nonmedical prescription medication use from social media. - Mohammed Ali Al-Garadi; Yuan-Chi Yang; Haitao Cai; Yucheng Ruan; Karen O'Connor; Graciela Gonzalez-Hernandez; Jeanmarie Perrone; Abeed Sarker (BMC Medical Informatics Decis. Mak., 2021)

A comparison of few-shot and traditional named entity recognition models for medical text. - Yao Ge 003; Yuting Guo; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker (ICHI, 2022)

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter. - Mohammed Ali Al-Garadi; Sangmi Kim; Yuting Guo; Elise Warren; Yuan-Chi Yang; Sahithi Lakamana; Abeed Sarker (Array, 2022)

Few-shot learning for medical text: A systematic review. - Yao Ge 003; Yuting Guo; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker (CoRR, 2022)