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20212024
most citedSummarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models

15 citations · 17 across the 6 of their papers we have counts for

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cs.CL2024

Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review

Emma Croxford, Yanjun Gao, Nicholas Pellegrino +7

Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine r…

cs.CL2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen +5

The introduction of Large Language Models (LLMs) has advanced data representation and analysis, bringing significant progress in their use for medical questions and answering. Desp…

cs.CL2023

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning

Brihat Sharma, Yanjun Gao, Timothy Miller +3

Generative artificial intelligence (AI) is a promising direction for augmenting clinical diagnostic decision support and reducing diagnostic errors, a leading contributor to medica…

cs.CL202215 cited

Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models

Yanjun Gao, Dmitriy Dligach, Timothy Miller +3

Automatically summarizing patients' main problems from daily progress notes using natural language processing methods helps to battle against information and cognitive overload in…

cs.CL2022

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding

Yanjun Gao, Dmitriy Dligach, Timothy Miller +4

Applying methods in natural language processing on electronic health records (EHR) data is a growing field. Existing corpus and annotation focus on modeling textual features and re…

cs.CL20211 cited

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences

Yanjun Gao, Ting-hao Huang, Rebecca J. Passonneau

Atomic clauses are fundamental text units for understanding complex sentences. Identifying the atomic sentences within complex sentences is important for applications such as summa…