The Role of Big Data Analytics in Personalized Healthcare Systems

Authors

  • Alex King
  • Taylor Phillips
  • Casey Moore

Keywords:

big data, healthcare, personalized medicine, analytics, machine learning

Abstract

This paper examines the transformative role of big data analytics in the development of personalized healthcare systems. By leveraging large datasets, advanced algorithms, and machine learning, the research aims to enhance diagnostic accuracy and treatment efficacy. The study provides insights into the integration of big data approaches with current healthcare frameworks, highlighting potential obstacles and solutions for widespread adoption. Our findings underscore the critical importance of data-driven strategies in revolutionizing patient care and improving overall health outcomes.

Author Biographies

Alex King

PhD in Health Informatics
Harvard University
Cambridge, MA 02138, USA

Taylor Phillips

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

Casey Moore

PhD in Biomedical Engineering
National Technical University of Ukraine
Peremohy Ave, 37, Kyiv, Ukraine, 03056

References

Kumar, N., & Kataria, V. (2025). Unpacking the Emotional Landscape of Reviews: Sentiment-Augmented Topic Modeling with Transformer Embeddings.

Published

2025-10-23

Issue

Section

Articles