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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.

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Where it is published

Catalogue records · 1

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Inferred from text
Tabular 65%
Provenance · 1 source records, 14 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/wgjsz4n4rb.19 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:field:321201mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Ophthalmology']
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