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Medical NER

Named entity recognition for medical documents and clinical notes

0K runs

Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

Input

Text Input string

Enter the text you want to process

# model string

The medical NER model to use. Default: en_core_sci_lg

# entity_types array

Medical entity types to extract. Default: DISEASE,DRUG,SYMPTOM,PROCEDURE,ANATOMY

Output

{
  "entities": [
    {
      "text": "hypertension",
      "type": "DISEASE",
      "start": 0,
      "end": 12
    },
    {
      "text": "metformin",
      "type": "DRUG",
      "start": 25,
      "end": 34
    }
  ]
}

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