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Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data

Xiangyong Kong¹, Ruiyang Peng¹, Huajie Dai²

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Frontiers in Public Health

|December 29, 2022

Summary

This summary is machine-generated.

This study introduces an intelligent diabetes digital platform using big data and AI for medical research. The platform efficiently integrates, analyzes, and shares medical data, aiding clinical decisions and advancing digital healthcare.

Keywords:

diabetes digital therapeutics medical data processing model prediction platform construction

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Area of Science:

Medical Informatics
Artificial Intelligence
Big Data Analytics

Background:

Medical informatization is increasingly reliant on artificial intelligence.
Complex medical data structures necessitate advanced big data technologies for research and analysis.

Purpose of the Study:

To design an intelligent diabetes digital platform architecture.
To leverage big data technologies and machine learning for medical data analysis and prediction.
To establish mechanisms for data integration, sharing, and privacy in medical research.

Main Methods:

Utilized Hadoop system for big data platform construction.
Applied statistical and machine learning principles for model prediction and data analysis.
Proposed three core mechanisms: Data integration and Governance (DCM), Data sharing and Privacy (DPM), and Medical Application and Research (MCM).

Main Results:

Developed an efficient intelligent diabetes prediction and data analysis platform.
The platform is operational at Shanghai T Hospital, handling massive real-time data.
Integrated data acquisition, cleaning, and mining with an intuitive user interface.

Conclusions:

The platform serves as a valuable tool for medical professionals, advancing medical informatization and research.
It supports evidence-based digital therapeutics and future digital healthcare services.