Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts.

ABSTRACT:

Background

Collaborative privacy-preserving modeling across several healthcare institutions allows for the construction of more generalizable predictive models while protecting patient privacy.

Objective

We aim at addressing the site availability issue on a hierarchical network by designing an immutable/transparent/source-verifiable quorum mechanism.

Methods

We developed an approach to combine a hierarchical learning algorithm, a novel Proof-of-Quorum (PoQ) consensus protocol, and a design of blockchain smart contracts. We constructed QuorumChain as an example and evaluated the scenarios of site-unavailability during the initialization and/or iteration phases of the modeling process on three healthcare/genomic datasets.

Results

When one or more sites would beco

SUBMITTER: Kuo TT 

PROVIDER: S-EPMC9984225 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature