Data · dataset · 2024
Abstracts_Ophthamology_NLP_dataset
Listed in Teesside University Research Data Repository
Our retinal diseases (RenD) dataset comprises of 1000 articles sourced from PubMed, covering various conditions such as diabetic retinopathy (DR), glaucoma, diabetic macular edema (DME), age-related macular degeneration (AMD), cataract, dry eye, retinal detachment, and central serous retinopathy (CSR).
Description
To ensure accurate categorization, we enlisted the expertise of six domain specialists who meticulously annotated the articles based on abstracts.
To ensure accuracy and reliability in the annotation process, each article in our dataset is reviewed and annotated by at least three individual annotators (see supplemental Table A1 for guidelines for the data annotation). This multiple-annotator approach helps mitigate potential biases and inconsistencies that could arise from a single annotator's perspective. Once the annotation was completed, the final label for each article is determined based on majority voting.
Links
Where it is published
- DOI doi.org/10.17632/wgjsz4n4rb.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Natural language processing · Ophthalmology · Social Science
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/wgjsz4n4rb.1 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:321201 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Ophthalmology'] |
| concepts[field].anzsrc:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |