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Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes.
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Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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Zhang Y, Zhou K, Liu Z · 2022
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A systematic review of automatic text summarization for biomedical literature and EHRs
Wang M, Wang M, Yu F, Yang Y, Walker J, Mostafa J · 2021
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Chestxraybert: A pretrained language model for chest radiology report summarization
Cai X, Liu S, Han J, Yang L, Liu Z, Liu T · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Li XL, Liang P · 2021
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Vu T, Lester B, Constant N, Al-Rfou R, Cer D · 2021
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Reframing Instructional Prompts to GPTk’s Language
Mishra S, Khashabi D, Baral C, Choi Y, Hajishirzi H · 2021
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Promptchainer: Chaining large language model prompts through visual programming
Wu T, Jiang E, Donsbach A, Gray J, Molina A, Terry M, et al · 2022
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Liu P, Yuan W, Fu J, Jiang Z, Hayashi H, Neubig G · 2023
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Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition
Kim M, Kim HI, Ro YM · 2023
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PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data
Zhang S, Li H, Tang R, Ding S, Rasmy L, Zhi D, et al · 2023
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LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability
Yuan J, Tang R, Jiang X, Hu X · 2023
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GPT-4 Technical Report
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