Description
This pretrained pipeline is built on the top of ner_ade_clinical model.
Live Demo Open in Colab Copy S3 URI
How to use
pipeline = PretrainedPipeline("ner_ade_clinical_pipeline", "en", "clinical/models")
pipeline.annotate("Been taking Lipitor for 15 years, have experienced severe fatigue a lot!!!. Doctor moved me to voltaren 2 months ago, so far, have only experienced cramps")
val pipeline = new PretrainedPipeline("ner_ade_clinical_pipeline", "en", "clinical/models")
pipeline.annotate("Been taking Lipitor for 15 years, have experienced severe fatigue a lot!!!. Doctor moved me to voltaren 2 months ago, so far, have only experienced cramps")
import nlu
nlu.load("en.med_ner.ade_clinical.pipeline").predict("""Been taking Lipitor for 15 years, have experienced severe fatigue a lot!!!. Doctor moved me to voltaren 2 months ago, so far, have only experienced cramps""")
Results
+--------------+---------+
|chunk |ner_label|
+--------------+---------+
|Lipitor |DRUG |
|severe fatigue|ADE |
|voltaren |DRUG |
|cramps |ADE |
+--------------+---------+
Model Information
| Model Name: | ner_ade_clinical_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 1.7 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- WordEmbeddingsModel
- MedicalNerModel
- NerConverter