LARK: NLP & AI Research Lab @ CU
LARK: NLP & AI Research Lab @ CU
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LCD Benchmark: Long Clinical Document Benchmark on Mortality Prediction.
W Yoon
,
S Chen
,
Y Gao
,
D Dligach
,
DS Bitterman
,
M Afshar
,
T Miller
Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies
Skatje Myers
,
Timothy a Miller
,
Yanjun Gao
,
Matthew M Churpek
,
Anoop Mayampurath
,
Dmitriy Dligach
,
Majid Afshar
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models
Majid Afshar
,
Yanjun Gao
,
Deepak Gupta
,
Emma Croxford
,
Dina Demner-Fushman
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability
Yanjun Gao
,
Skatje Myers
,
Shan Chen
,
Dmitriy Dligach
,
Timothy Miller
,
Danielle S Bitterman
,
Guanhua Chen
,
Anoop Mayampurath
,
Matthew M Churpek
,
Majid Afshar
Prompt Engineering GPT-4 to Answer Patient Inquiries: A Real-Time Implementation in the Electronic Health Record across Provider Clinics
Majid Afshar
,
Yanjun Gao
,
Graham Wills
,
Jason Wang
,
Matthew M Churpek
,
Christa J Westenberger
,
David T Kunstman
,
Joel E Gordon
,
Frank J Liao
,
Brian W Patterson
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
,
Dmitriy Dligach
,
Timothy a Miller
,
Danielle Bitterman
,
Matthew Churpek
,
Majid Afshar
DR. BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing
We introduced the first Diagnostic Reasoning Benchmark to evaluate clinical natural language processing models’ abilities in clinical diagnostic reasoning.
Yanjun Gao, PhD
,
Dmitriy Dligach
,
Timothy Miller
,
John Caskey
,
Brihat Sharma
,
Matthew M Churpek
,
Majid Afshar
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Call for papers: Special issue on clinical natural language processing for secondary use applications.
Meliha Yetisgen
,
Ozlem Uzuner
,
Yanjun Gao
,
Diwakar Mahajan
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