Big Data Analytics in Healthcare Systems

Authors

  • Jamie Parker PhD
  • Skyler Green PhD
  • Kai Lee PhD

Keywords:

big data, healthcare systems, data analytics, patient outcomes, clinical decisions

Abstract

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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Author Biographies

Jamie Parker, PhD

PhD
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

Skyler Green, PhD

PhD
ETH Zurich
Rämistrasse 101, 8092 Zürich, Switzerland

Kai Lee, PhD

PhD
University of Copenhagen
Nørregade 10, 1165 København, Denmark

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).

Published

2024-10-24

Issue

Section

Articles