Author

Albert M. Lai

Washington University in St. LouisORCID 0000-0002-9241-2656Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Inez Y. OhiD· 1 shared Jonathan E. TangiD· 1 shared Jonathan Moran Sierra· 1 shared Kriti BhattaraiiD· 1 shared Philip PayneiD· 1 shared Zachary B. AbramsiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Inez Y. OhORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 27, 2023

Leveraging GPT-4 for Identifying Cancer Phenotypes in Electronic Health Records: A Performance Comparison between GPT-4, GPT-3.5-turbo, Flan-T5 and spaCy's Rule-based & Machine Learning-based methods

Kriti Bhattarai, Inez Y. Oh, Jonathan Moran Sierra…·Albert M. Lai

This paper compares GPT-4, GPT-3.5-turbo, Flan-T5, and spaCy-based methods for identifying cancer phenotypes from EHRs, finding GPT-4 achieves higher precision, recall, and F1 scores.

8 citations

humanelectronic health records

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