An explainable Transformer-based deep learning model for the prediction
of incident heart failure

An explainable Transformer-based deep learning model for the prediction of incident heart failure

27 January 2021

R. Ramakrishnan

Thomas Lukasiewicz

G. Salimi-Khorshidi

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Papers citing "An explainable Transformer-based deep learning model for the prediction of incident heart failure"

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Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,591 0 03 Dec 2019
BEHRT: Transformer for Electronic Health Records Yikuan Li Shishir Rao J. R. A. Solares A. Hassaine D. Canoy Yajie Zhu K. Rahimi G. Salimi-Khorshidi OOD 110 464 0 22 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 69 252 0 28 May 2018
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 207 2,235 0 12 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 121 1,248 0 19 Aug 2016
Deepr: A Convolutional Net for Medical Records Phuoc Nguyen T. Tran N. Wickramasinghe Svetha Venkatesh MedIm 58 373 0 26 Jul 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016