Maxim Edelson
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View article: False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions
False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions Open
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation st…
View article: Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network
Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network Open
Objective Our study aimed to expedite data sharing requests of Limited Data Sets (LDS) through the development of a streamlined platform that allows distributed, immutable management of network activities, provides transparent and intuitiv…
View article: Distributed management of patient data-sharing informed consents for clinical research
Distributed management of patient data-sharing informed consents for clinical research Open
Our work confirms the technical feasibility of a blockchain-based consent mechanism, assuring patients with an immutable audit trail, and providing researchers with an efficient way to reach their cohorts.
View article: Profiling Clinical Researchers Effectively using Embeddings and Clustering
Profiling Clinical Researchers Effectively using Embeddings and Clustering Open
Effective researcher profiling is key to support rapid research team formation. We developed a profiling method using (1) widely accessible publication titles, (2) document embedding vector representations to consider background, and (3) b…
View article: Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions Open
Objective We aimed to develop a distributed, immutable, and highly available cross-cloud blockchain system to facilitate federated data analysis activities among multiple institutions. Materials and Methods We preprocessed 9166 COVID-19 St…
View article: Generalizable prediction of COVID-19 mortality on worldwide patient data
Generalizable prediction of COVID-19 mortality on worldwide patient data Open
Objective Predicting Coronavirus disease 2019 (COVID-19) mortality for patients is critical for early-stage care and intervention. Existing studies mainly built models on datasets with limited geographical range or size. In this study, we …