Computational Argumentation for Medical Device Regulatory Classification

Author:

Almpani Sofia1ORCID,Kiouvrekis Yiannis23,Stefaneas Petros4,Frangos Panayiotis1

Affiliation:

1. School of Electrical and Computer Engineering, National Technical University of Athens, Greece

2. Department of Public and One Health, University of Thessaly, Karditsa, Thessaly, Greece

3. School of Business, University of Nicosia, Nicosia, Cyprus

4. School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Greece

Abstract

This work implements argumentation as the basis for modeling the relevant EU legislation concerning medical devices classification. Stakeholders can consult a web application for determining the risk-based class of a medical device based on the relevant legislation. The described approach is generally applicable to any other analogous cases of decision-making based on legislative regulations. One of the main advantages of using argumentation is the explainability and the high modularity of software permitting the extension and/or modification of the code when new relevant regulations become available.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Artificial Intelligence

Cited by 2 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. Explainable argumentation as a service;Journal of Web Semantics;2023-04

2. Trends in Argumentation Logic;Studia Humana;2022-12-01

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