Authors:
Rama Krishna Vaddy

Addresses:
1Department of Information Technology, Kraft Heinz Company, Buffalo Grove, Illinois, United States of America. rama.vaddy@kraftheinz.com1 

Abstract:

Comprehensive health monitoring is crucial for early disease detection and personalized healthcare. Our research paper focuses on data fusion techniques as a vital method for integrating diverse health-related data sources, including wearable devices, electronic health records (EHRs), and genomic information. This integration offers a holistic view of an individual's health, enhancing diagnosis and treatment. The paper explores the challenges and opportunities in data fusion for health monitoring. Key challenges include data compatibility, privacy concerns, and managing large, varied data volumes. However, the potential for improved diagnostic accuracy and personalized care is significant. Our study shows the effectiveness of data fusion in improving healthcare outcomes. We found that using fused data from multiple sources leads to better health monitoring and disease prediction compared to single-source data. The paper also discusses the current limitations, such as the need for sophisticated algorithms to handle data complexity. Future scopes of data fusion in health monitoring are promising, with advancements in artificial intelligence and machine learning expected to address existing challenges. These technologies could enable more advanced, predictive health monitoring systems, facilitating early disease detection and preventive healthcare measures. The paper highlights the transformative potential of data fusion in healthcare, suggesting a future of more proactive and personalized health management.

Keywords: Data Fusion; Health Monitoring; Wearable Devices; Electronic Health Records; Genomic Data; Comprehensive Health Monitoring Data Fusion; Efficacy of Treatments; Integrating Diverse Health.

Received on: 19/06/2023, Revised on: 13/09/2023, Accepted on: 09/11/2023, Published on: 16/12/2023

FMDB Transactions on Sustainable Health Science Letters, 2023 Vol. 1 No. 4, Pages: 198-207

• Views : 151
• Downloads : 8

Download PDF