Fetching the paper…
Reading the bibliography…
Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured clinical data.
A simple algorithm for identifying negated findings and diseases in discharge summaries
Wendy W Chapman, Will Bridewell, Paul Hanbury, Gregory F Cooper, and Bruce G Buchanan · 2001
Earlier work this paper cites.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Multimodal deep learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y Ng · 2011
Earlier work this paper cites.
Multimodal learning with deep boltzmann machines
Nitish Srivastava and Ruslan R Salakhutdinov · 2012
Earlier work this paper cites.
Learning to diagnose with lstm recurrent neural networks
Zachary C Lipton, David C Kale, Charles Elkan, and Randall Wetzel · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials
Riccardo Miotto and Chunhua Weng · 2015
Earlier work this paper cites.
Lasagne: first release
Sander Dieleman, Jan Schlüter, Colin Raffel, Eben Olson, Søren Kaae Sønderby, Daniel Nouri, Daniel Maturana, Martin Thoma, Eric Battenberg, Jack Kelly, et al · 2015
Earlier work this paper cites.
Doctor ai: Predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, and Jimeng Sun · 2016
Cited alongside, same era.
Multi-task prediction of disease onsets from longitudinal laboratory tests
Narges Razavian, Jake Marcus, and David Sontag · 2016
Cited alongside, same era.
Deep patient: an unsupervised representation to predict the future of patients from the electronic health records
Riccardo Miotto, Li Li, Brian A Kidd, and Joel T Dudley · 2016
Cited alongside, same era.
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, TH McCoy, and RH Perlis · 2016
Cited alongside, same era.
An empirical evaluation of doc2vec with practical insights into document embedding generation
Jey Han Lau and Timothy Baldwin · 2016
Cited alongside, same era.
Efficient vector representation for documents through corruption
Minmin Chen · 2017
Later among the works it cites.
Reproducibility in critical care: a mortality prediction case study
Alistair EW Johnson, Tom J Pollard, and Roger G Mark · 2017
Later among the works it cites.
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, and Aram Galstyan · 2017
Later among the works it cites.
Deep active learning for named entity recognition
Yanyao Shen, Hyokun Yun, Zachary C Lipton, Yakov Kronrod, and Animashree Anandkumar · 2017
Later among the works it cites.
Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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
Cited alongside, same era.
Clinical intervention prediction and understanding using deep networks
Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, and Marzyeh Ghassemi · 2017
Cited alongside, same era.
Closest in time.
Deep ehr: Chronic disease prediction using medical notes
Jingshu Liu, Zachariah Zhang, and Narges Razavian · 2018
Closest in time.
What’s in a note? unpacking predictive value in clinical note representations
Willie Boag, Dustin Doss, Tristan Naumann, and Peter Szolovits · 2018
Closest in time.