filipelopesmedbr/CIEL-Clinical-Concepts-to-ICD-11
TD;LR Run: pip install torch==2.4.1+cu118 torchvision==0.19.2+cu118 torchaudio==2.4.1 --extra-index-url https://download.pytorch.org/whl/cu118 pip install -U packaging setuptools wheel ninja pip install --no-build-isolation axolotl[flash-attn,deepspeed] axolotl train axolotl_2_a40_runpod_config.yaml π CIEL to ICD-11 Fine-tuning Dataset This dataset was created to support the fine-tuning of open-source large language models (LLMs) specialized in ICD-11 terminology mapping. Itβ¦ See the full description on the dataset page: https://huggingface.co/datasets/filipelopesmedbr/CIEL-Clinical-Concepts-to-ICD-11.
TD;LR Run:
pip install torch==2.4.1+cu118 torchvision==0.19.2+cu118 torchaudio==2.4.1 --extra-index-url https://download.pytorch.org/whl/cu118
pip install -U packaging setuptools wheel ninja
pip install --no-build-isolation axolotl[flash-attn,deepspeed]
axolotl train axolotl_2_a40_runpod_config.yamlπ CIEL to ICD-11 Fine-tuning Dataset
This dataset was created to support the fine-tuning of open-source large language models (LLMs) specialized in ICD-11 terminology mapping.
It includes clinical concepts from the Columbia International eHealth Laboratory (CIEL) and official entities from the ICD-11 MMS classification by the World Health Organization (WHO).
βΈ»
πΏ Dataset Structure
Each line in the .jsonl file follows this structure:
{
"instruction": "Provide the ICD-11 code for the clinical concept. Include extensions or cluster codes if required for full specificity.",
"input": "Carcinoma of tongue base - dorsal surface",
"output": "SAME-AS 2B40.0&XA7LA4",
"category": "source:ciel>same-as+stem+extensions"
}- instruction: Text prompting the model to generate the expected output.
- input: Clinical concept to be mapped.
- output: Expected mapping output with the relation type (e.g., SAME-AS, NARROWER-THAN, BROADER-THAN) followed by the ICD-11 code(s).
- category: Metadata field indicating the source and mapping type.
βΈ»
π Categories
The dataset covers multiple mapping scenarios:
βΈ»
π― Intended Use
- Fine-tuning LLMs to understand, map, and post-coordinate ICD-11 concepts.
- Training specialized RAG (Retrieval Augmented Generation) systems for healthcare terminology.
- Supporting automated ICD-11 coding tasks.
βΈ»
β‘ Notes
- Clinical concepts were carefully filtered and reviewed to ensure quality.
- Mapping relationships (e.g., SAME-AS, NARROWER-THAN) follow standardized conventions.
- Extension codes (X...) are never returned alone β they must be attached to a stem or cluster.
βΈ»
π§ͺ License
This dataset is distributed under the MIT License.
βΈ»
π€ Contributions
Contributions, corrections, and suggestions are welcome to improve this resource for the community.
