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On Monetizing Personal Wearable Devices Data:A Blockchain-based Marketplace for Data Crowdsourcing and Federated Machine Learning in Healthcare
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作者 Mohamed Emish Hari Kishore Chaparala +1 位作者 Zeyad Kelani sean d.young 《Artificial Intelligence Advances》 2022年第2期8-16,共9页
Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and ... Machine learning advancements in healthcare have made data collected through smartphones and wearable devices a vital source of public health and medical insights.While wearable device data help to monitor,detect,and predict diseases and health conditions,some data owners hesitate to share such sensitive data with companies or researchers due to privacy concerns.Moreover,wearable devices have been recently available as commercial products;thus large,diverse,and representative datasets are not available to most researchers.In this article,the authors propose an open marketplace where wearable device users securely monetize their wearable device records by sharing data with consumers(e.g.,researchers)to make wearable device data more available to healthcare researchers.To secure the data transactions in a privacy-preserving manner,the authors use a decentralized approach using Blockchain and Non-Fungible Tokens(NFTs).To ensure data originality and integrity with secure validation,the marketplace uses Trusted Execution Environments(TEE)in wearable devices to verify the correctness of health data.The marketplace also allows researchers to train models using Federated Learning with a TEE-backed secure aggregation of data users may not be willing to share.To ensure user participation,we model incentive mechanisms for the Federated Learning-based and anonymized data-sharing approaches using NFTs.The authors also propose using payment channels and batching to reduce smart contact gas fees and optimize user profits.If widely adopted,it’s believed that TEE and Blockchain-based incentives will promote the ethical use of machine learning with validated wearable device data in healthcare and improve user participation due to incentives. 展开更多
关键词 Wearable devices Data integrity Data validation Federated learning Blockchain Trusted execution environment Health informatics Healthcare data collection Data monetization
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A Novel Application of Blockchain Technology and Its Features in an Effort to Increase Uptake of Medications for Opioid Use Disorder
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作者 Renee Garett Zeyad Kelani sean d.young 《Artificial Intelligence Advances》 2022年第2期17-21,共5页
The opioid crisis has impacted the lives of millions of Americans.Digital technology has been applied in both research and clinical practice to mitigate this public health emergency.Blockchain technology has been impl... The opioid crisis has impacted the lives of millions of Americans.Digital technology has been applied in both research and clinical practice to mitigate this public health emergency.Blockchain technology has been implemented in healthcare and other industries outside of cryptocurrency,with few studies exploring its utility in dealing with the opioid crisis.This paper explores a novel application of blockchain technology and its features to increase uptake of medications for opioid use disorder. 展开更多
关键词 Blockchain Opioid use disorder Data Security
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