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Recent advances in large language models (LLMs) show potential for clinical applications, such as clinical decision support and trial recommendations.
Combining classifiers in text categorization
Leah S. Larkey and W. Bruce Croft · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Using “annotator rationales” to improve machine learning for text categorization
Omar Zaidan, Jason Eisner, and Christine Piatko · 2007
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Frontiers of biomedical text mining: current progress
Pierre Zweigenbaum, Dina Demner-Fushman, Hong Yu, and Kevin Bretonnel Cohen · 2007
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Reported lifetime aberrant drug-taking behaviors are predictive of current substance use and mental health problems in primary care patients
Michael Francis Fleming, James Davis, and Steven D. Passik · 2008
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Extracting medication information from clinical text
Özlem Uzuner, Imre Solti, and Eithon Cadag · 2010
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An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
Ramakanth Kavuluru, Anthony Rios, and Yuan Lu · 2015
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Mimic-iii, a freely accessible critical care database
Alistair E. W. Johnson, Tom J. Pollard, Lu Shen, Li wei H. Lehman, Mengling Feng, Mohammad Mahdi Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G. Mark · 2016
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Clinical practice guidelines for rare diseases: The orphanet database
Sonia Pavan, Kathrin Rommel, María Elena Mateo Marquina, Sophie Höhn, Valérie Lanneau, and Ana Rath · 2017
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Wojciech Samek, Thomas Wiegand, and Klaus-Robert Müller · 2017
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Icd social codes: An underutilized resource for tracking social needs
Jacqueline M. Torres, John Lawlor, J. D. Colvin, Marion R. Sills, Jessica L. Bettenhausen, Amber Davidson, Gretchen J. Cutler, Matt Hall, and Laura M. Gottlieb · 2017
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Simple and effective multi-paragraph reading comprehension
Christopher Clark and Matt Gardner · 2018
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Explainable prediction of medical codes from clinical text
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, and Jacob Eisenstein · 2018
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Clinical information extraction applications: A literature review
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, and Hongfang Liu · 2018
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Clinical text annotation - what factors are associated with the cost of time?
Qiang Wei, Amy Franklin, Trevor A. Cohen, and Hua Xu · 2018
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Interpretable deep learning to map diagnostic texts to icd-10 codes
Aitziber Atutxa, Arantza Díaz de Ilarraza, Koldo Gojenola, Maite Oronoz, and Olatz Perez de Viñaspre · 2019
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Screening for Social Determinants of Health: The Known and Unknown
Karina W. Davidson and Thomas McGinn · 2019
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Attention is not Explanation
Sarthak Jain and Byron C. Wallace · 2019
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A discrete hard EM approach for weakly supervised question answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, and Luke Zettlemoyer · 2019
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Estimating cumulative point prevalence of rare diseases: analysis of the orphanet database
Stéphanie Nguengang Wakap, Deborah M. Lambert, Annie Olry, Charlotte Rodwell, Charlotte Gueydan, Valérie Lanneau, Daniel Murphy, Yann le Cam, and Ana Rath · 2019
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Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation
Hang Dong, V’ictor Su’arez-Paniagua, William Whiteley, and Honghan Wu · 2020
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Why do you think that? exploring faithful sentence-level rationales without supervision
Max Glockner, Ivan Habernal, and Iryna Gurevych · 2020
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International classification of diseases, tenth revision, clinical modification social determinants of health codes are poorly used in electronic health records
Yi Guo, Zhaoyi Chen, Ke Xu, Thomas J. George, Yonghui Wu, William R. Hogan, Elizabeth A. Shenkman, and Jiang Bian · 2020
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Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art
Patrick Lewis, Myle Ott, Jingfei Du, and Veselin Stoyanov · 2020
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Dynamically extracting outcome-specific problem lists from clinical notes with guided multi-headed attention
Justin Lovelace, Nathan C. Hurley, Adrian D. Haimovich, and Bobak J. Mortazavi · 2020
Cited alongside, same era.
Preparing medical imaging data for machine learning
Martin J. Willemink, Wojciech A Koszek, Cailin Hardell, Jie Wu, Dominik Fleischmann, Hugh Harvey, Les R. Folio, Ronald M. Summers, D. Rubin, and Matthew P. Lungren · 2020
Clinical prompt learning with frozen language models
Niall Taylor, Yi Zhang, Dan W. Joyce, Alejo J. Nevado-Holgado, and Andrey Kormilitzin · 2022
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A novel framework based on medical concept driven attention for explainable medical code prediction via external knowledge
Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, and Deyu Zhou · 2022
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Large language models are better reasoners with self-verification
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, and Jun Zhao · 2022
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Knowledge injected prompt based fine-tuning for multi-label few-shot ICD coding
Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, and Hong Yu · 2022
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Automated identification of eviction status from electronic health record notes
Zonghai Yao, Jack Tsai, Weisong Liu, David Levy, Emily Druhl, Joel Reisman, and Hongfeng Yu · 2022
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Cited alongside, same era.
Rare disease identification from clinical notes with ontologies and weak supervision
Hang Dong, V’ictor Su’arez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, and Honghan Wu · 2021
Cited alongside, same era.
Effective convolutional attention network for multi-label clinical document classification
Yang Liu, Hua Cheng, Russell Klopfer, Matthew R. Gormley, and Thomas Schaaf · 2021
Cited alongside, same era.
Perturbing inputs for fragile interpretations in deep natural language processing
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, and Yanjun Qi · 2021
Cited alongside, same era.
Calibrate before use: Improving few-shot performance of language models
Tony Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh · 2021
Cited alongside, same era.
Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
Cited alongside, same era.
Improving in-context few-shot learning via self-supervised training
Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, and Zornitsa Kozareva · 2022
Cited alongside, same era.
Horses to zebras: Ontology-guided data augmentation and synthesis for ICD-9 coding
Matúš Falis, Hang Dong, Alexandra Birch, and Beatrice Alex · 2022
Cited alongside, same era.
Code synonyms do matter: Multiple synonyms matching network for automatic ICD coding
Zheng Yuan, Chuanqi Tan, and Songfang Huang · 2022
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Automatic ICD coding exploiting discourse structure and reconciled code embeddings
Shurui Zhang, Bozheng Zhang, Fuxin Zhang, Bo Sang, and Wanchun Yang · 2022
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Cancerbert: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records
Sicheng Zhou, Nan Wang, Liwei Wang, Hongfang Liu, and Rui Zhang · 2022
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MDACE: MIMIC documents annotated with code evidence
Hua Cheng, Rana Jafari, April Russell, Russell Klopfer, Edmond Lu, Benjamin Striner, and Matthew Gormley · 2023
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Self-verification improves few-shot clinical information extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, and Hoifung Poon · 2023
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Medalpaca–an open-source collection of medical conversational ai models and training data
Tianyu Han, Lisa C Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, and Keno K Bressem · 2023
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DARE: Towards robust text explanations in biomedical and healthcare applications
Adam Ivankay, Mattia Rigotti, and Pascal Frossard · 2023
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Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Abidin, Kevin Eaton, Howard A. Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T M Cheung, Grace Yang, Mingzi Cao, Mona G. Flores, Anthony B Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, and Eric Karl Oermann · 2023
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Odd: A benchmark dataset for the nlp-based opioid related aberrant behavior detection
Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel Reisman, Wenjun Li, Robert D. Kerns, William Becker, and Hongfeng Yu · 2023
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Lost in the middle: How language models use long contexts
Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang · 2023
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Denis Jered McInerney, Geoffrey S. Young, J.-W. van de Meent, and Byron C. Wallace · 2023
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Large language models as instructors: A study on multilingual clinical entity extraction
Simon Meoni, Eric De la Clergerie, and Theo Ryffel · 2023
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A two-stage decoder for efficient ICD coding
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, and Stefan Winkler · 2023
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OpenAI · 2023
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Identifying and extracting rare disease phenotypes with large language models
Cathy Shyr, Yan Hu, P. A. Harris, and Hua Xu · 2023
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