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Related Experiment Video

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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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A knowledge-driven decision support system for remote medical management.

Yuqing Lu1,2

  • 1College of Economics and Business Administration, Cheongju University, Cheongju 28503, Chungbuk, Republic of Korea.

Mathematical Biosciences and Engineering : MBE
|March 11, 2023
PubMed
Summary

This study introduces a decision support system for remote elderly healthcare management using digital technology. The system accurately models resident utilization rates, improving remote medical management and reducing errors.

Keywords:
decision support systemelderly residentshealthcare managementintelligent computing

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Area of Science:

  • Digital Health
  • Medical Informatics
  • Health Services Research

Background:

  • Residential medical digital technology integrates computer networks and medical research.
  • Remote medical management requires efficient decision support systems.
  • Understanding resident utilization rates is crucial for system design.

Purpose of the Study:

  • To design a decision support system for remote healthcare management of elderly residents.
  • To develop a utilization rate modeling method based on digital information extraction.
  • To analyze system design elements through utilization rate calculations.

Main Methods:

  • Utilizing knowledge discovery principles for system construction.
  • Employing a utilization rate modeling method for digital information extraction.
  • Combining utilization rate modeling with system design intent analysis.
  • Applying non-uniform rational B-spline (NURBS) for high-precision usage rate fitting and surface modeling.

Main Results:

  • The NURBS method achieved test accuracies of 83%, 87%, and 89% in modeling utilization rates.
  • The developed method effectively reduces modeling errors from irregular feature models.
  • The system ensures accuracy in modeling the utilization rate of digital information.

Conclusions:

  • The proposed decision support system enhances remote elderly healthcare management.
  • The utilization rate modeling method improves the accuracy and efficiency of digital health systems.
  • This approach contributes to the advancement of residential medical digital technology.