Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods. - Abeed Sarker; Graciela Gonzalez-Hernandez; Jeanmarie Perrone (MedInfo, 2019)

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. - Abeed Sarker; Annika DeRoos; Jeanmarie Perrone (J. Am. Medical Informatics Assoc., 2020)

Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. - Samah Jamal Fodeh; Mohammed Ali Al-Garadi; Osama Elsankary; Jeanmarie Perrone; William Becker; Abeed Sarker (Comput. Biol. Medicine, 2021)

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)

Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. - Sudeshna Das 002; Yao Ge 003; Yuting Guo; Swati Rajwal; JaMor Hairston; Jeanne M. Powell; Drew Walker; Snigdha Peddireddy; Sahithi Lakamana; Selen Bozkurt; Matthew A. Reyna; Reza Sameni; et al. (CoRR, 2024)

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case. - JaMor Hairston; Ritvik Ranjan; Sahithi Lakamana; Anthony Spadaro; Selen Bozkurt; Jeanmarie Perrone; Abeed Sarker (CoRR, 2025)