77 citations · 102 across the 8 of their papers we have counts for
9 papers
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser
Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer +2
This paper is dedicated to the design and evaluation of the first AMR parser tailored for clinical notes. Our objective was to facilitate the precise transformation of the clinical…
The impact of responding to patient messages with large language model assistance
Shan Chen, Marco Guevara, Shalini Moningi +12
Documentation burden is a major contributor to clinician burnout, which is rising nationally and is an urgent threat to our ability to care for patients. Artificial intelligence (A…
Measuring Pointwise -Usable Information In-Context-ly
Sheng Lu, Shan Chen, Yingya Li +3
In-context learning (ICL) is a new learning paradigm that has gained popularity along with the development of large language models. In this work, we adapt a recently proposed hard…
Large Language Models to Identify Social Determinants of Health in Electronic Health Records
Marco Guevara, Shan Chen, Spencer Thomas +11
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the…
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
Shan Chen, Yingya Li, Sheng Lu +4
Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedic…
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy
Shan Chen, Marco Guevara, Nicolas Ramirez +7
Radiotherapy (RT) toxicities can impair survival and quality-of-life, yet remain under-studied. Real-world evidence holds potential to improve our understanding of toxicities, but…
Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support
Gil Alon, Elizabeth Chen, Guergana Savova +1
Many recent studies use machine learning to predict a small number of ICD-9-CM codes. In practice, on the other hand, physicians have to consider a broader range of diagnoses. This…
Mining Misdiagnosis Patterns from Biomedical Literature
Cindy Li, Elizabeth Chen, Guergana Savova +2
Diagnostic errors can pose a serious threat to patient safety, leading to serious harm and even death. Efforts are being made to develop interventions that allow physicians to reas…
Open Source Software Sustainability Models: Initial White Paper from the Informatics Technology for Cancer Research Sustainability and Industry Partnership Work Group
Y. Ye, R. D. Boyce, M. K. Davis +20
The Sustainability and Industry Partnership Work Group (SIP-WG) is a part of the National Cancer Institute Informatics Technology for Cancer Research (ITCR) program. The charter of…