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Bayesian-Based Parameter Estimation to Quantify Trust in Medical Devices

Abstract

In this paper, we propose a data-driven approach to estimate Bayesian parameters when trust needs to be quantified in the domain of wearable medical devices (WMD). Our approach extracts the probability of a trust determinant (e.g., reliability or robustness) being in a specific state from the data. Then, we use the Bayesian approach to estimate the parameters for the intermediate nodes in the network and ultimately compute the trust score. The …

Authors

Thomas M; Boursalie O; Samavi R; Doyle TE

Book title

Artificial Intelligence for Personalized Medicine

Series

Studies in Computational Intelligence

Volume

1106

Pagination

pp. 95-108

Publisher

Springer Nature

Publication Date

2023

DOI

10.1007/978-3-031-36938-4_8