Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics-Reference-Cited by-同舟云学术

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Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics

Published:2024-05-23 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)
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Author:

Elia Miriam¹,Stieler Fabian¹,Ripke Fabian²,Nann Marius²,Dopfer Sarah²,Bauer Bernhard¹

Affiliation:

1. University of Augsburg,Faculty of Applied Computer Science,Augsburg,Germany

2. GS Elektromedizinische Geräte G. Stemple GmbH,Kaufering,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10569136/10569095/10570023.pdf?arnumber=10570023

Reference20 articles.

1. Evaluation of machine learning algorithms for health and wellness applications: A tutorial

2. A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning

3. Automatic Multi-Label ECG Classification with Category Imbalance and Cost-Sensitive Thresholding

4. Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD);Food;Discussion Paper and Request for Feedback,2021

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