Published April 26, 2024
| Version v1
Conference paper
Open
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care
Authors/Creators
- 1. Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- 2. Department of Ophthalmology, Klinikum Chemnitz gGmbH, Chemnitz, Germany
- 3. Professorship of Media Informatics, University of Applied Sciences Mittweida, Mittweida, Germany
- 4. Research Group Digital Health, Faculty of Business and Economics, Technical University of Dresden, Dresden, Germany
- 5. Junior Professorship of Media Computing, Chemnitz University of Technology, Chemnitz, Germany
- 6. Center for Scalable Data Analytics and Artificial Intelligence, Dresden/Leipzig, Germany
Contributors
Contact person:
Description
This repository provides an Excel spreadsheet named MappingTable.xls, which belongs to a conference paper.
This Excel file includes mappings for various clinical ophthalmic data elements used in a specific machine learning model designed for predicting visual acuity, published by Schlosser et al. [1] to FHIR using the MII core data set basic modules.
[1] Schlosser et al., Visual acuity prediction on real-life patient data using a machine learning based multistage system, Sci Rep. 14 (2024) 5532. doi:10.1038/s41598-024-54482-2
In addition, in this repository we provide FHIR example resources for patients, diagnoses and IVOM (intravitreal drug administration) therapy that meet the specifications of the MII CDS base modules.
Files
example_diagnose_AMD_left.json
Files
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