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Grid Binary LOgistic REgression (GLORE): building shared models without sharing data

OBJECTIVE: The classification of complex or rare patterns in clinical and genomic data requires the availability of a large, labeled patient set. While methods that operate on large, centralized data sources have been extensively used, little attention has been paid to understanding whether models s...

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書目詳細資料
Main Authors: Wu, Yuan, Jiang, Xiaoqian, Kim, Jihoon, Ohno-Machado, Lucila
格式: Artigo
語言:Inglês
出版: BMJ Group 2012
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3422844/
https://ncbi.nlm.nih.gov/pubmed/22511014
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-000862
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