Ontology mapping-based feedback evaluation method for medical information

Dong Yang

doi:10.1117/12.3033183

5 July 2024 Ontology mapping-based feedback evaluation method for medical information

Dong Yang

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131842O (2024) https://doi.org/10.1117/12.3033183
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

To improve the accuracy of medical information feedback, a 360 degree feedback evaluation model based on ontology mapping and information island elimination was designed to address the issues of large data volume and external feedback. Using ontology mapping to define global and local ontologies, establishing mapping relationships, eliminating information silos, and integrating and processing medical information. Integrate evaluation tools, design a 360 degree feedback evaluation model, and verify the reliability coefficient to meet the standard. The experiment shows that the model can complete feedback within 10ms, with an evaluation effectiveness of 7.4. The overall integration has been improved, achieving fast and effective feedback and evaluation of medical information.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dong Yang "Ontology mapping-based feedback evaluation method for medical information", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131842O (5 July 2024); https://doi.org/10.1117/12.3033183

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available