ELCardioCC: Assigning ICD-10 Codes to Greek Hospital Discharge Letters

A dataset for assigning ICD-10 codes to Greek hospital discharge letters. It appears to be part of the BioASQ 2026 challenge, focusing on clinical text and medical NLP. The specific source, size, and time range of the data are not provided.

Use Cases

• Training models for automated ICD-10 code assignment based on Greek clinical narratives.
• Benchmarking multilingual clinical NLP systems on the BioASQ challenge.
• Developing named entity recognition models for Greek medical terminology mentioned in discharge letters.
• Studying the challenges of clinical coding in languages other than English.

Strengths

• Focuses on a specific, high-value task: automated ICD-10 coding.
• Addresses a less common language in clinical NLP: Greek.
• Is associated with the BioASQ challenge, suggesting a benchmark purpose.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and institutional bias inherent to its unspecified Greek hospital source.

Provenance

Source

BioASQ challenge platform.

Collection Method

Likely contains Greek hospital discharge letters annotated with ICD-10 codes.

Geography

Greece (inferred from language).