Chapter
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