Big Data Analytics in Healthcare Systems
Keywords:
big data, healthcare systems, data analytics, patient outcomes, clinical decisionsAbstract
This article explores the application of big data analytics in healthcare, focusing on the potential to improve patient outcomes and operational efficiency. By analyzing large datasets, healthcare providers can identify trends and patterns that inform clinical decisions and policy-making. The study highlights key innovations in data processing and the integration of analytics into healthcare systems, contributing to more personalized and effective care.
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References
Климов, Н. Д. (2024). Методологии автоматизированного тестирования в Agile-разработке. Актуальные исследования, (28 (210)).
KUMAR, Nitin; KATARIA, Vipin. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.
Rasif, R. E. (2010). BASE PRINCIPAL OF MANAGING OF NETWORK SOFTWARE SECURITY BY VULNERABILITIES DETERMINATION MODEL. Computer Science & Telecommunications, 28(5).