Sensor Data Harmonisation and Longitudinal Health Record Fusion: AI-Driven Approaches to Wearable-Clinical Data Integration for Personalised Healthcare

Authors

  • Siarhei Katsevich Associate Professor of Computer Science, Belarusian State University of Informatics and Radioelectronics Author

Keywords:

sensor data harmonisation, longitudinal health record fusion, approaches to wearable-clinical data integration, personalised healthcare, machine learning

Abstract

The role of technology in influencing patient care is rapidly evolving. New and innovative methods for capturing health information in real time are appearing. One approach that shows considerable promise is the use of wearable health sensors to collect important health data. Typically focused on fitness and exercise applications, present sensor systems give consumers insights into a range of lifestyle and health factors.

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Published

30-06-2025

How to Cite

“Sensor Data Harmonisation and Longitudinal Health Record Fusion: AI-Driven Approaches to Wearable-Clinical Data Integration for Personalised Healthcare”. Journal of Science & Technology, vol. 6, no. 3, June 2025, pp. 1-9, https://www.thesciencebrigade.com/jst/article/view/705.

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