Pipeline to Mapping SNOMED Codes with Their Corresponding ICDO Codes

Description

This pretrained pipeline is built on the top of snomed_icdo_mapper model.

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Available as Private API Endpoint

Deploy

Deploy

Deploy

How to use

from sparknlp.pretrained import PretrainedPipeline

pipeline = PretrainedPipeline("snomed_icdo_mapping", "en", "clinical/models")
result= pipeline.fullAnnotate(["10376009", "2026006", "26638004"])

import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline

val pipeline = new PretrainedPipeline("snomed_icdo_mapping", "en", "clinical/models")

val result= pipeline.fullAnnotate(["10376009", "2026006", "26638004"])

import nlu
nlu.load("en.map_entity.snomed_to_icdo.pipe").predict("""Put your text here.""")

Results

|   | snomed_code | icdo_code |
|--:|------------:|----------:|
| 0 |    10376009 |    8050/2 |
| 1 |     2026006 |    9014/0 |
| 2 |    26638004 |    8322/0 |

Model Information

Included Models

• DocumentAssembler
• TokenizerModel
• ChunkMapperModel