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Author

Deahan Yu

Observed names: D Yu, Dingfu Yu, Yu, Deahan
ORCID: 0000-0001-7263-078X
Observed ORCID: 0000-0001-7263-078X
OpenAlex ID: A5028581235
Identifying the Presence, Activity, and Status of Extraintestinal Manifestations of Inflammatory Bowel Disease Using Natural Language Processing of Clinical Notes
2022 · Ryan W Stidham, Deahan Yu, et al. · Inflammatory Bowel Diseases · 31
Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics
2019 · V G Vinod Vydiswaran, Daniel M Romero, et al. · Journal of the American Medical Informatics Association · 28
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An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis
2022 · Deahan Yu, V G Vinod Vydiswaran · JMIR Medical Informatics · 19
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"Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit
2018 · V. G. Vydiswaran, Daniel Romero, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 12
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Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation
2019 · Xinyan Zhao, Deahan Yu, et al. · Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H) · 6
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Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1
2019 · V.G.Vinod Vydiswaran, Grace Ganzel, et al. · Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H) · 5
Data Science and Natural Language Processing to Extract Information in Clinical Domain
2022 · V.G.Vinod Vydiswaran, Xinyan Zhao, et al. · Joint International Conference on Data Science & Management of Data (CODS-COMAD) · 4
A Systematic Temporal Extraction Pipeline for Medical Concepts in Clinical Notes.
2023 · Deahan Yu, Ryan W Stidham, et al. · PubMed Central · 1
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Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
2020 · V. G. Vinod Vydiswaran, Deahan Yu, et al. · 1
Su1920 DETECTION AND CHARACTERIZATION OF EXTRA-INTESTINAL MANIFESTATIONS OF IBD IN CLINICAL OFFICE NOTES USING NATURAL LANGUAGE PROCESSING
2020 · Ryan Stidham, Deahan Yu, et al. · Gastroenterology · 1
P311 Detection and characterisation of extra-intestinal manifestations of IBD in clinical office notes using natural language processing
2020 · R Stidham, D Yu, et al. · Journal of Crohn s and Colitis · 1
NU_DeepHealthNLP at #SMM4H-HeaRD 2026: Entity-Conditioned Generation and a Four-Stage Pipeline for Automated SOAP Note Generation
2026 · Thanya Mysore Santhosh, Deahan Yu · Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H)
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Semantic Contribution-Aware Adaptive Retrieval for Black-Box Models
2025 · Qinhong Lin, Zhongliang Yang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Natural Language Processing Approaches for Monitoring Health Activities
2024 · Yu, Deahan · Deep Blue (University of Michigan)
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Sa1822 EVALUATING ONSET OF EXTRA-INTESTINAL MANIFESTATIONS IN IBD BY BIOLOGIC CLASS USING LONGITUDINAL NATURAL LANGUAGE PROCESSING OF CLINICAL DOCUMENTS
2023 · Deahan Yu, Michael D. Rice, et al. · Gastroenterology
1091: Automated Reporting of Medication Use History for Inflammatory Bowel Disease Using Natural Language Processing of Clinical Notes Is Accurate and Outperforms Electronic Administrative Records
2022 · Xinyan Zhao, Deahan Yu, et al. · Gastroenterology
Assessment of Mentions of Adverse Drug Events in Social Media Through Natural Language Processing (Preprint)
2022 · Deahan Yu, VG Vinod Vydiswaran
Data Science and Natural Language Processing to Extract Information from Clinical Narratives
2020 · V.G.Vinod Vydiswaran, Xinyan Zhao, et al. · Joint International Conference on Data Science & Management of Data (CODS-COMAD)
Consumer Health Informatics Research: A Scoping Review of Informatics, Information Science and Engineering Literature (Preprint)
2020 · Catherine Arnott Smith, Deahan Yu, et al.
Works count: 19
Citation count: 109
H-index: 5
I10-index: 4
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