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MedShare: Clinical NLP Research Platform
📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo
We release the raw clinical text data for our processed ClinicalNLP dataset, derived from the PhysioNet MIMIC-IV Clinical Notes corpus by the MIT Laboratory for Computational Physiology.
The data format for each line in the clinical_notes_filtered.jsonl is as follows:
{
"note_type": <the type of clinical note (e.g., discharge summary, radiology report)>,
"medical_context": <the clinical context and patient background>,
"clinical_text": <the de-identified clinical narrative>,
"entities": <extracted medical entities (diagnoses, procedures, medications)>,
"source": <the source of the raw clinical data>,
"category": <the medical specialty category>,
"meta": <meta information about this sample>
}
Some entity extractions may be incomplete due to de-identification constraints.
*Note: Due to privacy regulations and IRB requirements, some clinical descriptions have been further anonymized. We continue to work on improving data quality while maintaining HIPAA compliance.
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