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2020 – today
- 2023
[j5]Hannah A. Burkhardt
, Xiruo Ding, Amanda Kerbrat, Katherine Anne Comtois, Trevor Cohen:
From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction. J. Am. Medical Informatics Assoc. 30(6): 1068-1078 (2023)- [j4]William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman:
A flexible symbolic regression method for constructing interpretable clinical prediction models. npj Digit. Medicine 6 (2023) - [i3]Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen:
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. CoRR abs/2310.02451 (2023) - [i2]Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen:
Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts. CoRR abs/2312.05435 (2023) - 2022
- [c3]YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen:
Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings. AMIA 2022 - [c2]Xiruo Ding, Kevin Lybarger, Justin Tauscher, Trevor Cohen:
Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation. NAACL-HLT (Student Research Workshop) 2022: 68-75 - 2021
- [j3]Xiruo Ding, Justin Mower, Devika Subramanian, Trevor Cohen:
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information. J. Biomed. Informatics 119: 103833 (2021) - 2020
- [j2]Lingjiao Zhang, Xiruo Ding, Yanyuan Ma, Naveen Muthu, Imran Ajmal, Jason H. Moore, Daniel S. Herman, Jinbo Chen:
A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients. J. Am. Medical Informatics Assoc. 27(1): 119-126 (2020) - [c1]Xiruo Ding, Trevor A. Cohen:
Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection. AMIA 2020 - [i1]Xiruo Ding, Trevor Cohen:
Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection. CoRR abs/2008.03340 (2020)
2010 – 2019
- 2018
- [j1]Xiruo Ding, Ziad Gellad, III Chad Mather, Pamela Barth, Eric G. Poon, Mark Newman, Benjamin Alan Goldstein:
Designing risk prediction models for ambulatory no-shows across different specialties and clinics. J. Am. Medical Informatics Assoc. 25(8): 924-930 (2018)
Coauthor Index
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