Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2024-11-21 DOI:10.1038/s41746-024-01342-y
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew Soltan, Patrick Schwab, Kim Branson, David A Clifton
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出版商更正:基于知识抽象和过滤的医疗保健领域异构数据视图联合学习。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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Learning from the EHR to implement AI in healthcare A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform Phenotype driven molecular genetic test recommendation for diagnosing pediatric rare disorders Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
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