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Federated Learning for Early Detection of Neonatal Sepsis with Enhanced Data Interoperability

  • Engineered Science
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Abstract

This study leverages federated learning to integrate disparate healthcare data sources while preserving privacy and achieving promising accuracy in predicting both late- and early-onset neonatal sepsis.

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DOI
10.30919/es1476
OpenAlex
W4409846230
Document type
article
Language
EN
Source
Engineered Science
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