首页> 美国卫生研究院文献>Journal of the American Medical Informatics Association : JAMIA >EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning
【2h】

EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning

机译:预期的传播许可的区块链链(ExplorerChain):分散的在线医疗/基因组预测模型学习

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Predicting 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.
机译:使用医疗保健/基因组学数据预测患者结果是一个日益流行/重要的领域。但是,某些疾病很少见,需要多个机构的数据来构建可概括的模型。为了解决机构数据保护策略,许多分布式方法将数据保留在本地,但依靠中央服务器进行协调,这带来了诸如单点故障的风险。我们专注于提供基于分散方法的替代方案。为此,我们介绍了使用区块链技术的想法,并简要介绍了其自身的潜在优势/劣势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号