Xiruo Ding

According to our database, Xiruo Ding authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A flexible symbolic regression method for constructing interpretable clinical prediction models.

William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman

npj Digit. Medicine, 2023

From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction.

Hannah A. Burkhardt, Xiruo Ding, Amanda Kerbrat, Katherine Anne Comtois, Trevor Cohen

J. Am. Medical Informatics Assoc., 2023

Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts.

Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen

CoRR, 2023

Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes.

Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen

CoRR, 2023

2022

Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation.

Xiruo Ding, Kevin Lybarger, Justin Tauscher, Trevor Cohen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings.

YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen

Proceedings of the AMIA 2022, 2022

2021

Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information.

Xiruo Ding, Justin Mower, Devika Subramanian, Trevor Cohen

J. Biomed. Informatics, 2021

2020

A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients.

Lingjiao Zhang, Xiruo Ding, Yanyuan Ma, Naveen Muthu, Imran Ajmal, Jason H. Moore, Daniel S. Herman, Jinbo Chen

J. Am. Medical Informatics Assoc., 2020

Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection.

Xiruo Ding, Trevor A. Cohen

Proceedings of the AMIA 2020, 2020

2018

Designing risk prediction models for ambulatory no-shows across different specialties and clinics.

Xiruo Ding, Ziad Gellad, III Chad Mather, Pamela Barth, Eric G. Poon, Mark Newman, Benjamin Alan Goldstein

J. Am. Medical Informatics Assoc., 2018