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The widespread adoption of Electronic Health Records (EHR) has significantly increased the amount of available healthcare data.
What are the read codes?
Nick Booth · 1994
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A prediction rule to identify low-risk patients with community-acquired pneumonia
Fine MJ, Auble TE, Yealy DM, Hanusa BH, Weissfeld LA, Singer DE, Coley CM, Marrie TJ, and Kapoor WN · 1997
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Bidirectional recurrent neural networks
Mike Schuster and Kuldip K Paliwal · 1997
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Predicting disease risks from highly imbalanced data using random forest
Mohammed Khalilia, Sounak Chakraborty, and Mihail Popescu · 2011
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Distributed representations of words and phrases and their compositionality
Tomás Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Doctor AI: predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, and Jimeng Sun · 2015
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Cardiovascular risk factors for acute stroke: Risk profiles in the different subtypes of ischemic stroke
Adrià Arboix · 2015
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\ \backslash mathtt { \{ Deepr } \} : a convolutional net for medical records
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, and Svetha Venkatesh · 2016
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Mimic-iii, a freely accessible critical care database
Johnson, A., Pollard, T., Shen, and L. et al · 2016
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Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance
Wei-Qi Wei, Pedro L Teixeira, Huan Mo, Robert M Cronin, Jeremy L Warner, and Joshua C Denny · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Accuracy and completeness of clinical coding using icd-10 for ambulatory visits
Jan Horsky, Elizabeth A Drucker, and Harley Z Ramelson · 2017
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Searching for activation functions, 2017
Prajit Ramachandran, Barret Zoph, and Quoc V. Le · 2017
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Language modeling with gated convolutional networks, 2017
Yann N. Dauphin, Angela Fan, Michael Auli, and David Grangier · 2017
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Genetics of schizophrenia: overview of methods, findings and limitations
Mads G Henriksen, Julie Nordgaard, and Lennart B Jansson · 2017
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Breast cancer risk prediction using electronic health records
Yirong Wu, Elizabeth S Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy Peissig, Alexander Cobian, David Page, and Mark Craven · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Deep learning and artificial intelligence in radiology: Current applications and future directions
Koichiro Yasaka and Osamu Abe · 2018
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Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
Cited alongside, same era.
Towards stroke prediction using electronic health records
Douglas Teoh · 2018
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le · 2019
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Roberta: A robustly optimized bert pretraining approach, 2019
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Cited alongside, same era.
Rarebert: Transformer architecture for rare disease patient identification using administrative claims
P. Prakash, S. Chilukuri, N. Ranade, and S. Viswanathan · 2021
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Decreased hospital admissions through emergency departments during the covid-19 pandemic
Sara Nourazari, Samuel R Davis, Rachel Granovsky, Randolph Austin, Dean J Straff, Joshua W Joseph, and Leon D Sanchez · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Masked autoencoders are scalable vision learners, 2021
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2021
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Hi-behrt: Hierarchical transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaine, Dexter Canoy, Thomas Lukasiewicz, and Kazem Rahimi · 2022
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Junyuan Shang, Tengfei Ma, Cao Xiao, and Jimeng Sun · 2019
Cited alongside, same era.
A chronological map of 308 physical and mental health conditions from 4 million individuals in the english national health service
Kuan V, Denaxas S, Gonzalez-Izquierdo A, Direk K, Bhatti O, Husain S, Sutaria S, Hingorani M, Nitsch D, Parisinos CA, Lumbers RT, Mathur R, Sofat R, Casas JP, Wong ICK, Hemingway H, and Hingorani AD · 2019
Cited alongside, same era.
Time2vec: Learning a vector representation of time, 2019
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, and Marcus Brubaker · 2019
Cited alongside, same era.
Non-genetic factors in schizophrenia
Simona A Stilo and Robin M Murray · 2019
Cited alongside, same era.
Behrt: transformer for electronic health records
Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaine, Rema Ramakrishnan, Dexter Canoy, Yajie Zhu, Kazem Rahimi, and Gholamreza Salimi-Khorshidi · 2020
Cited alongside, same era.
Deep learning workflow in radiology: a primer
Emmanuel Montagnon, Milena Cerny, Alexandre Cadrin-Chênevert, Vincent Hamilton, Thomas Derennes, André Ilinca, Franck Vandenbroucke-Menu, Simon Turcotte, Samuel Kadoury, and An Tang · 2020
Cited alongside, same era.
Artificial intelligence and human trust in healthcare: Focus on clinicians
Onur Asan, Alparslan Emrah Bayrak, and Avishek Choudhury · 2020
Cited alongside, same era.
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Adadiag: Adversarial domain adaptation of diagnostic prediction with clinical event sequences,
Tianran Zhang, Muhao Chen, and Alex A.T. Bui · 2022
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Targeted-behrt: Deep learning for observational causal inference on longitudinal electronic health records
Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaine, Dexter Canoy, and Kazem Rahimi · 2022
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Palm: Scaling language modeling with pathways, 2022
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel · 2022
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Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training, 2022
Zhan Tong, Yibing Song, Jue Wang, and Limin Wang · 2022
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Predictptb: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Rawan AlSaad, Qutaibah Malluhi, and Sabri Boughorbel · 2022
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Progress on implementing and using electronic health record systems: Developments in oecd countries as of 2021
Luke Slawomirski, Luca Lindner, Katherine de Bienassis, Philip Haywood, Tiago Cravo Oliveira Hashiguchi, Melanie Steentjes, and Jillian Oderkirk · 2023
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Assessing breast cancer risk by combining ai for lesion detection and mammographic texture
Andreas D Lauritzen, My C von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, and Martin Lillholm · 2023
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Roformer: Enhanced transformer with rotary position embedding, 2023
Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, and Yunfeng Liu · 2023
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Qlora: Efficient finetuning of quantized llms, 2023
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer · 2023
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Llama: Open and efficient foundation language models, 2023
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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Should you mask 15
Alexander Wettig, Tianyu Gao, Zexuan Zhong, and Danqi Chen · 2023
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