ArticleJournal of the American Medical Informatics Association : JAMIA2020
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 8 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- A systematic study on blockchain technology for genomic data management in healthcare: approaches, challenges, and research opportunities.Medical & biological engineering & computing · 2026Pooled it
- Artificial intelligence for genomic science: a scoping review of concepts, architectures, applications, and open challenges.Frontiers in bioinformatics · 2026Pooled it
- Current application of blockchain technology in healthcare and its potential roles in Urology.BJU international · 2025Pooled it
- Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- Blockchain applications in health care for COVID-19 and beyond: a systematic review.The Lancet. Digital health · 2021Pooled it
- Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021Pooled it
- Comparison of blockchain platforms: a systematic review and healthcare examples.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.Scientific reports · 2025Article
- Blockchain for Securing AI-Driven Healthcare Systems: A Systematic Review and Future Research Perspectives.Cureus · 2025Review
- Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals.Nature communications · 2025Article
- Distributed management of patient data-sharing informed consents for clinical research.Computers in biology and medicine · 2024Article
- WebQuorumChain: A web framework for quorum-based health care model learning.Informatics in medicine unlocked · 2024Article
- Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts.International journal of medical informatics · 2023Article
- A scoping review of distributed ledger technology in genomics: thematic analysis and directions for future research.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Detecting model misconducts in decentralized healthcare federated learning.International journal of medical informatics · 2022Article
- CertificateChain: decentralized healthcare training certificate management system using blockchain and smart contracts.JAMIA open · 2022Article
- Functional genomics data: privacy risk assessment and technological mitigation.Nature reviews. Genetics · 2022Review
- Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research.International journal of medical informatics · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectivePredicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional data protection policies, many distributed methods keep the data locally but rely on a central server for coordination, which introduces risks such as a single point of failure. We focus on providing an alternative based on a decentralized approach. We introduce the idea using blockchain technology for this purpose, with a brief description of its own potential advantages/disadvantages. MATERIALS AND
methodsWe explain how our proposed EXpectation Propagation LOgistic REgRession on Permissioned blockCHAIN (ExplorerChain) can achieve the same results when compared to a distributed model that uses a central server on 3 healthcare/genomic datasets, and what trade-offs need to be considered when using centralized/decentralized methods. We explain how the use of blockchain technology can help decrease some of the problems encountered in decentralized methods.
resultsWe showed that the discrimination power of ExplorerChain can be statistically similar to its counterpart central server-based algorithm. While ExplorerChain inherited some benefits of blockchain, it had a small increased running time. DISCUSSION: ExplorerChain has the same prerequisites as a distributed model with a centralized server for coordination. In a manner similar to secure multi-party computation strategies, it assumes that participating institutions are honest, but "curious."
conclusionWhen evaluated on relatively small datasets, results suggest that ExplorerChain, which combines artificial intelligence and blockchain technologies, performs as well as a central server-based method, and may avoid some risks at the cost of efficiency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.