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The inherent complexity of structured longitudinal Electronic Health Records (EHR) data poses a significant challenge when integrated with Large Language Models (LLMs), which are traditionally tailored for natural language processing.
Using biotic interaction networks for prediction in biodiversity and emerging diseases
Christopher R Stephens, Joaquín Giménez Heau, Camila González, Carlos N Ibarra-Cerdeña, Victor Sánchez-Cordero, and Constantino González-Salazar · 2009
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Strategies for handling missing data in electronic health record derived data
Brian J Wells, Kevin M Chagin, Amy S Nowacki, and Michael W Kattan · 2013
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A general fine-tuned transfer learning model for predicting clinical task acrossing diverse ehrs datasets
Zhe Sun, Shaoliang Peng, Yaning Yang, Xiaoqi Wang, and Fei Li · 2019
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Metapred: Meta-learning for clinical risk prediction with limited patient electronic health records
Xi Sheryl Zhang, Fengyi Tang, Hiroko H Dodge, Jiayu Zhou, and Fei Wang · 2019
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Dr. agent: Clinical predictive model via mimicked second opinions
Junyi Gao, Cao Xiao, Lucas M Glass, and Jimeng Sun · 2020
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Stagenet: Stage-aware neural networks for health risk prediction
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M Glass, and Jimeng Sun · 2020
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The incubation period of coronavirus disease 2019 (covid-19) from publicly reported confirmed cases: estimation and application
Stephen A Lauer, Kyra H Grantz, Qifang Bi, Forrest K Jones, Qulu Zheng, Hannah R Meredith, Andrew S Azman, Nicholas G Reich, and Justin Lessler · 2020
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Adacare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration
Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, and Xinyu Ma · 2020
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Concare: Personalized clinical feature embedding via capturing the healthcare context
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, and Junyi Gao · 2020
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Generalizing from a few examples: A survey on few-shot learning
Yaqing Wang, Quanming Yao, James T Kwok, and Lionel M Ni · 2020
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An interpretable mortality prediction model for covid-19 patients
Li Yan, Hai-Tao Zhang, Jorge Goncalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, et al · 2020
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Numgpt: Improving numeracy ability of generative pre-trained models
Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, and Huamin Qu · 2021
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Distilling knowledge from publicly available online emr data to emerging epidemic for prognosis
Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, and Jiangtao Wang · 2021
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Patient health representation learning via correlational sparse prior of medical features
Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, and Guoren Wang · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou · 2022
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M3care: Learning with missing modalities in multimodal healthcare data
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, and Junfeng Zhao · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Paradigm shift presented by large language models (llm) in deep learning
Neha Chacko and Viju Chacko · 2023
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Introducing chatgpt, 2023
OpenAI · 2023
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Introducing gemini: our largest and most capable ai model
Sundar Pichai and Demis Hassabis · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Ehrshot: An ehr benchmark for few-shot evaluation of foundation models
Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason Fries, and Nigam Shah · 2023
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The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Scott Fleming, Michael A Pfeffer, Jason Fries, and Nigam H Shah · 2023
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Meta-ehr: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate
Hsu-Hsiang Chang, Te-Cheng Hsu, Yi-Hsien Hsieh, and Che Lin · 2023
Cited alongside, same era.
Large language models are zero-shot time series forecasters
Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew Gordon Wilson · 2023
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Ehr foundation models improve robustness in the presence of temporal distribution shift
Lin Lawrence Guo, Ethan Steinberg, Scott Lanyon Fleming, Jose Posada, Joshua Lemmon, Stephen R Pfohl, Nigam Shah, Jason Fries, and Lillian Sung · 2023
Cited alongside, same era.
Mimic-iv, a freely accessible electronic health record dataset
Alistair EW Johnson, Lucas Bulgarelli, Lu Shen, Alvin Gayles, Ayad Shammout, Steven Horng, Tom J Pollard, Sicheng Hao, Benjamin Moody, Brian Gow, et al · 2023
Cited alongside, same era.
Large language models are few-shot health learners
Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, and Shwetak Patel · 2023
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An empirical study of catastrophic forgetting in large language models during continual fine-tuning
Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, and Yue Zhang · 2023
Cited alongside, same era.
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients
Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Yinghao Zhu, Tianlong Wang, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, and Tao Wang · 2023
Cited alongside, same era.
Promptcast: A new prompt-based learning paradigm for time series forecasting
Hao Xue and Flora D Salim · 2023
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Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang, and Liantao Ma · 2023
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Yinghao Zhu, Jingkun An, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan, and Liantao Ma · 2023
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Pyehr: A predictive modeling toolkit for electronic health records
Yinghao Zhu, Wenqing Wang, Junyi Gao, and Liantao Ma · 2023
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Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Zixi Chen, Jingkun An, Liantao Ma, and Chengwei Pan · 2023
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A comprehensive benchmark for covid-19 predictive modeling using electronic health records in intensive care, 2024
Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Ewen M. Harrison, and Liantao Ma · 2024
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Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, et al · 2024
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