Explainable artificial intelligence model to predict acute critical
illness from electronic health records

Explainable artificial intelligence model to predict acute critical illness from electronic health records

3 December 2019

Mads Kristensen

Mathias Vassard Olsen

Morten Skaarup Larsen

K. M. Lauritsen

Marianne Johansson Jørgensen

Papers citing "Explainable artificial intelligence model to predict acute critical illness from electronic health records"

14 / 14 papers shown

Title
Reading ability detection using eye-tracking data with LSTM-based few-shot learning Nanxi Li Hongjiang Wang Zehui Zhan 33 0 0 13 Sep 2024
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? A. Brankovic David Cook Jessica Rahman Wenjie Huang Sankalp Khanna 12 1 0 21 Jun 2023
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients Tucker Stewart Katherine Stern G. O’Keefe Ankur Teredesai Juhua Hu 19 0 0 25 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 18 56 0 10 Apr 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 21 185 0 19 Jan 2023
Using explainability to design physics-aware CNNs for solving subsurface inverse problems J. Crocker Krishna Kumar B. Cox 14 9 0 16 Nov 2022
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria Theresa Bender J. Beinecke D. Krefting Carolin Müller Henning Dathe T. Seidler Nicolai Spicher Anne-Christin Hauschild FAtt 11 24 0 03 Nov 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 21 91 0 14 Sep 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 19 0 0 27 Apr 2022
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records Shuai Niu Qing Yin Yunya Song Yike Guo Xian Yang 21 9 0 18 Jan 2022
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 16 73 0 23 Dec 2021
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare Chinasa T. Okolo Michelle González Amador 13 0 0 29 Oct 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 36 10 0 12 Jul 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017