The Role of Explainability in Assuring Safety of Machine Learning in Healthcare-Reference-Cited by-同舟云学术

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

Published:2022-10-01 Issue:4 Volume:10 Page:1746-1760
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Jia Yan¹^ORCID,McDermid John¹^ORCID,Lawton Tom²^ORCID,Habli Ibrahim¹^ORCID

Affiliation:

1. Department of Computer Science, University of York, York, U.K.

2. Bradford Royal Infirmary, Bradford Institute for Health Research, Bradford, U.K.

Funder

Bradford Teaching Hospitals NHS Foundation Trust

University of York

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

http://xplorestaging.ieee.org/ielx7/6245516/9970409/09769937.pdf?arnumber=9769937

Reference55 articles.

1. Safety of artificial intelligence: A collaborative model;mcdermid;Proc AISafety,2020

2. Regularizing black-box models for improved interpretability;plumb,2020

3. The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies;markus;J Biomed Informat,2020

4. Efficient Data Representation by Selecting Prototypes with Importance Weights

5. A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Explainable Artificial Intelligence Techniques for Interpretable Neural Networks in Traffic Sign Recognition Systems;Electronics;2024-01-10

2. Design and Assurance of Safety-Critical Systems with Artificial Intelligence in FPGAs: The Safety ArtISt Method and a Case Study of an FPGA-Based Autonomous Vehicle Braking Control System;Electronics;2023-12-06

3. Multi-Task Transformer Visualization to build Trust for Clinical Outcome Prediction;2023 Workshop on Visual Analytics in Healthcare (VAHC);2023-10-22

4. Explainable ECG Beat Classification On The Edge for Smart, Trustworthy and Low-Power Wearables;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

5. KONX: A Dynamic Approach for Explainable AI in Higher Education;Proceedings of the 7th International Conference on Algorithms, Computing and Systems;2023-10-19