Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

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Spatial transformer networks

Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015

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Temporal convolutional neural networks for diagnosis from lab tests

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Narges Razavian and David Sontag · 2015

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Imaging time-series to improve classification and imputation

Zhiguang Wang and Tim Oates · 2015

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Learning representations from EEG with deep recurrent-convolutional neural networks

Pouya Bashivan, Irina Rish, Mohammed Yeasin, and Noel Codella · 2016

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Multi-scale convolutional neural networks for time series classification

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Zhicheng Cui, Wenlin Chen, and Yixin Chen · 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

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Learning to diagnose with lstm recurrent neural networks

Zachary C Lipton, David C Kale, Charles Elkan, and Randall Wetzel · 2016

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Heart sound classification based on temporal alignment techniques

José Javier González Ortiz, Cheng Perng Phoo, and Jenna Wiens · 2016

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Multi-task prediction of disease onsets from longitudinal laboratory tests

Narges Razavian, Jake Marcus, and David Sontag · 2016

Cited alongside, same era.

Convolutional sequence to sequence learning

Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017

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Multitask learning and benchmarking with clinical time series data

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Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, and Aram Galstyan · 2017

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Clinical intervention prediction and understanding with deep neural networks

Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, and Marzyeh Ghassemi · 2017

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Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

Terry T Um, Franz MJ Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, and Dana Kulić · 2017

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Comparative study of CNN and RNN for natural language processing

Original

Wenpeng Yin, Katharina Kann, Mo Yu, and Hinrich Schütze · 2017