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Electronic health records (EHRs) contain valuable patient data for health-related prediction tasks, such as disease prediction.
Large language models in medicine
Thirunavukarasu AJ, Ting DSJ, Elangovan K, Gutierrez L, Tan TF, Ting DSW · 1930
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Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches
Wu J, Roy J, Stewart WF · 2010
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MIMIC-III, a freely accessible critical care database
Johnson AE, Pollard TJ, Shen L, Lehman LwH, Feng M, Ghassemi M, et al · 2016
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Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
Shickel B, Tighe PJ, Bihorac A, Rashidi P · 2017
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Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
Goldstein BA, Navar AM, Pencina MJ, Ioannidis JP · 2017
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Scalable and accurate deep learning with electronic health records
Rajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, et al · 2018
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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Xiao C, Choi E, Sun J · 2018
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Language models are few-shot learners
Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, et al · 2020
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Exploiting cloze questions for few shot text classification and natural language inference
Schick T, Schütze H · 2020
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Deep representation learning of electronic health records to unlock patient stratification at scale
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Learning the graphical structure of electronic health records with graph convolutional transformer
Choi E, Xu Z, Li Y, Dusenberry M, Flores G, Xue E, et al · 2020
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Large language models are few-shot clinical information extractors
Agrawal M, Hegselmann S, Lang H, Kim Y, Sontag D · 2022
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Healthprompt: A zero-shot learning paradigm for clinical natural language processing
Sivarajkumar S, Wang Y · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei J, Wang X, Schuurmans D, Bosma M, Xia F, Chi E, et al · 2022
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Gpt-4 technical report
Achiam J, Adler S, Agarwal S, Ahmad L, Akkaya I, Aleman FL, et al · 2023
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Palm 2 technical report
Anil R, Dai AM, Firat O, Johnson M, Lepikhin D, Passos A, et al · 2023
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Large language models encode clinical knowledge
Singhal K, Azizi S, Tu T, Mahdavi SS, Wei J, Chung HW, et al · 2023
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Do We Still Need Clinical Language Models?
Hernandez E, Mahajan D, Wulff J, Smith MJ, Ziegler Z, Nadler D, et al · 2023
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A study of generative large language model for medical research and healthcare
Peng C, Yang X, Chen A, Smith KE, PourNejatian N, Costa AB, et al · 2023
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MedAlpaca–an open-source collection of medical conversational AI models and training data
Han T, Adams LC, Papaioannou JM, Grundmann P, Oberhauser T, Löser A, et al · 2023
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ClinicalGPT: large language models finetuned with diverse medical data and comprehensive evaluation
Wang G, Yang G, Du Z, Fan L, Li X · 2023
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Large language models for healthcare data augmentation: An example on patient-trial matching
Yuan J, Tang R, Jiang X, Hu X · 2023
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An empirical evaluation of prompting strategies for large language models in zero-shot clinical natural language processing
Sivarajkumar S, Kelley M, Samolyk-Mazzanti A, Visweswaran S, Wang Y · 2023
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Singhal K, Tu T, Gottweis J, Sayres R, Wulczyn E, Hou L, et al · 2023
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Tabllm: Few-shot classification of tabular data with large language models
Hegselmann S, Buendia A, Lang H, Agrawal M, Jiang X, Sontag D · 2023
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Ehrshot: An ehr benchmark for few-shot evaluation of foundation models
Wornow M, Thapa R, Steinberg E, Fries J, Shah N · 2023
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Wu Q, Bansal G, Zhang J, Wu Y, Zhang S, Zhu E, et al · 2023
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Talebirad Y, Nadiri A · 2023
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He K, Mao R, Lin Q, Ruan Y, Lan X, Feng M, et al.. A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics; 2023
2023
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Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text
Lu Y, Zhao X, Wang J · 2023
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Adapted large language models can outperform medical experts in clinical text summarization
Van Veen D, Van Uden C, Blankemeier L, Delbrouck JB, Aali A, Bluethgen C, et al · 2024
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Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Jin Q, Yang Y, Chen Q, Lu Z · 2024
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Mannhardt N, Bondi-Kelly E, Lam B, O’Connell C, Asiedu M, Mozannar H, et al.. Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study; 2024
2024
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Can large language models reason about medical questions?
Liévin V, Hother CE, Motzfeldt AG, Winther O · 2024
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Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
D’Antonoli TA, Stanzione A, Bluethgen C, Vernuccio F, Ugga L, Klontzas ME, et al · 2024
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Improving large language models for clinical named entity recognition via prompt engineering
Hu Y, Chen Q, Du J, Peng X, Keloth VK, Zuo X, et al · 2024
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