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2020 – today
- 2024
[i1]Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal
, JaMor Hairston, Jeanne M. Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew A. Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker:
Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. CoRR abs/2405.19519 (2024)- 2021
- [j3]Samah Jamal Fodeh, Mohammed Ali Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker:
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. Comput. Biol. Medicine 129: 104132 (2021) - [j2]Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Graciela Gonzalez-Hernandez, Jeanmarie Perrone, Abeed Sarker:
Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC Medical Informatics Decis. Mak. 21(1): 27 (2021) - 2020
- [j1]Abeed Sarker, Annika DeRoos, Jeanmarie Perrone:
Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. J. Am. Medical Informatics Assoc. 27(2): 315-329 (2020)
2010 – 2019
- 2019
- [c1]Abeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone:
Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods. MedInfo 2019: 333-337
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