Description
This pretrained pipeline is built on the top of ner_posology_greedy model.
Live Demo Open in Colab Copy S3 URI
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("ner_posology_greedy_pipeline", "en", "clinical/models")
pipeline.fullAnnotate("The patient was prescribed 1 capsule of Advil 10 mg for 5 days and magnesium hydroxide 100mg/1ml suspension PO. He was seen by the endocrinology service and she was discharged on 40 units of insulin glargine at night, 12 units of insulin lispro with meals, and metformin 1000 mg two times a day.")
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("ner_posology_greedy_pipeline", "en", "clinical/models")
pipeline.fullAnnotate("The patient was prescribed 1 capsule of Advil 10 mg for 5 days and magnesium hydroxide 100mg/1ml suspension PO. He was seen by the endocrinology service and she was discharged on 40 units of insulin glargine at night, 12 units of insulin lispro with meals, and metformin 1000 mg two times a day.")
import nlu
nlu.load("en.med_ner.posology_greedy.pipeline").predict("""The patient was prescribed 1 capsule of Advil 10 mg for 5 days and magnesium hydroxide 100mg/1ml suspension PO. He was seen by the endocrinology service and she was discharged on 40 units of insulin glargine at night, 12 units of insulin lispro with meals, and metformin 1000 mg two times a day.""")
Results
+----+----------------------------------+---------+-------+------------+
| | chunks | begin | end | entities |
|---:|---------------------------------:|--------:|------:|-----------:|
| 0 | 1 capsule of Advil 10 mg | 27 | 50 | DRUG |
| 1 | magnesium hydroxide 100mg/1ml PO | 67 | 98 | DRUG |
| 2 | for 5 days | 52 | 61 | DURATION |
| 3 | 40 units of insulin glargine | 168 | 195 | DRUG |
| 4 | at night | 197 | 204 | FREQUENCY |
| 5 | 12 units of insulin lispro | 207 | 232 | DRUG |
| 6 | with meals | 234 | 243 | FREQUENCY |
| 7 | metformin 1000 mg | 250 | 266 | DRUG |
| 8 | two times a day | 268 | 282 | FREQUENCY |
+----+----------------------------------+---------+-------+------------+
Model Information
| Model Name: | ner_posology_greedy_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