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Monitoring patients in ICU is a challenging and high-cost task.
Clinicalbert: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath. 2019 · 1904
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Long short-term memory
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The relationship between precision-recall and roc curves
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Multimodal deep learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y Ng. 2011 · 2011
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Explain images with multimodal recurrent neural networks
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, and Alan L Yuille. 2014 · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems
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Dynamically modeling patient’s health state from electronic medical records: A time series approach
Karla L Caballero Barajas and Ram Akella. 2015 · 2015
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A multivariate timeseries modeling approach to severity of illness assessment and forecasting in icu with sparse, heterogeneous clinical data
Marzyeh Ghassemi, Marco AF Pimentel, Tristan Naumann, Thomas Brennan, David A Clifton, Peter Szolovits, and Mengling Feng. 2015 · 2015
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Convolutional neural networks for biomedical text classification: application in indexing biomedical articles
Anthony Rios and Ramakanth Kavuluru. 2015 · 2015
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Cancer hallmark text classification using convolutional neural networks
Simon Baker, Anna Korhonen, and Sampo Pyysalo. 2016 · 2016
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Multimodal learning and reasoning
Desmond Elliott, Douwe Kiela, and Angeliki Lazaridou. 2016 · 2016
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016 · 2016
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Automated icd-9 coding via a deep learning approach
M. Li, Z. Fei, M. Zeng, F. Wu, Y. Li, Y. Pan, and J. Wang. 2018 · 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 · 2018
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Attend and diagnose: Clinical time series analysis using attention models
Huan Song, Deepta Rajan, Jayaraman J Thiagarajan, and Andreas Spanias. 2018 · 2018
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Learning tasks for multitask learning: Heterogenous patient populations in the icu
Harini Suresh, Jen J Gong, and John V Guttag. 2018 · 2018
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Raim: Recurrent attentive and intensive model of multimodal patient monitoring data
Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande, Kevin O Maher, and Jimeng Sun. 2018 · 2018
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Rationale-augmented convolutional neural networks for text classification
Ye Zhang, Iain Marshall, and Byron C Wallace. 2016 · 2016
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What’s in a note? unpacking predictive value in clinical note representations
Willie Boag, Dustin Doss, Tristan Naumann, and Peter Szolovits. 2018 · 2018
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Biosentvec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, and Zhiyong Lu. 2018 · 2018
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Improving hospital mortality prediction with medical named entities and multimodal learning
Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, et al. 2018 · 2018
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Tushaar Gangavarapu, Aditya Jayasimha, Gokul S Krishnan, and Sowmya Kamath. 2019 · 2019
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Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, Greg Ver Steeg, and Aram Galstyan. 2019 · 2019
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Knowledge-aware deep dual networks for text-based mortality prediction
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