Concept-based model explanations for electronic health records

Type: Preprint

Publication Date: 2021-03-23

Citations: 14

DOI: https://doi.org/10.1145/3450439.3451858

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series 2021 Asif Rahman
Yale Chang
Jonathan Rubin
+ Self-explaining Neural Network with Plausible Explanations. 2021 Sayantan Kumar
Sean Yu
Andrew P. Michelson
Philip Payne
+ Adaptive Prediction Timing for Electronic Health Records 2020 J. Deasy
Ari Ercole
Píetro Lió
+ RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism 2016 Edward Choi
Mohammad Taha Bahadori
Joshua A. Kulas
Andy Schuetz
Walter F. Stewart
Jimeng Sun
+ RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism 2016 Edward Choi
Mohammad Taha Bahadori
Jimeng Sun
Joshua A. Kulas
Andy Schuetz
Walter F. Stewart
+ Adaptive Prediction Timing for Electronic Health Records. 2020 J. Deasy
Ari Ercole
Píetro Lió
+ Improving Clinical Predictions through Unsupervised Time Series Representation Learning 2018 Xinrui Lyu
Matthias Hüser
Stephanie L. Hyland
George Zerveas
Gunnar Rätsch
+ Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks 2020 Chuan Wang
Xumeng Wang
Kwan‐Liu Ma
+ PDF Chat Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series 2020 Kristoffer Wickstrøm
Karl Øyvind Mikalsen
Michael Kampffmeyer
Arthur Revhaug
Robert Jenssen
+ Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data 2021 Laila Rasmy
Jie Zhu
Zhiheng Li
Xin Hao
Hong Thoai Nga Tran
Yujia Zhou
Firat Tiryaki
Yang Xiang
Hua Xu
Degui Zhi
+ Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions 2021 Thanh Nguyen-Duc
Natasha Mulligan
Gurdeep Mannu
Joao H. Bettencourt‐Silva
+ Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions 2021 Thanh Nguyen-Duc
Natasha Mulligan
Gurdeep Mannu
Joao H. Bettencourt‐Silva
+ Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions. 2021 Thanh Nguyen-Duc
Natasha Mulligan
Gurdeep Mannu
Joao H. Bettencourt‐Silva
+ Self-explaining neural network with concept-based explanations for ICU mortality prediction 2022 Sayantan Kumar
Sean Yu
Thomas Kannampallil
Zachary B. Abrams
Andrew P. Michelson
Philip Payne
+ Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction 2021 Sayantan Kumar
Sean Yu
Thomas Kannampallil
Zachary B. Abrams
Andrew P. Michelson
Philip Payne
+ PDF Chat Attend and Diagnose: Clinical Time Series Analysis Using Attention Models 2018 Huan Song
Deepta Rajan
Jayaraman J. Thiagarajan
Andreas Spanias
+ Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk 2019 Sebastiano Barbieri
J. F. Kemp
Oscar Perez‐Concha
Sradha Kotwal
M. W. Gallagher
Angus Ritchie
Louisa Jorm
+ Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk 2019 Sebastiano Barbieri
James Kemp
Oscar Perez‐Concha
Sradha Kotwal
Martin Gallagher
Angus Ritchie
Louisa Jorm
+ Learning to Adapt Clinical Sequences with Residual Mixture of Experts 2022 Jeong Min Lee
Miloš Hauskrecht
+ PDF Chat Self-explaining Hierarchical Model for Intraoperative Time Series 2022 Dingwen Li
Bing Xue
Christopher R. King
Bradley A. Fritz
Michael S. Avidan
Joanna Abraham
Chenyang Lu