Description
This pretrained pipeline is built on the top of ner_risk_factors_biobert model.
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("ner_risk_factors_biobert_pipeline", "en", "clinical/models")
text = '''ISTORY OF PRESENT ILLNESS: The patient is a 40-year-old white male who presents with a chief complaint of "chest pain". The patient is diabetic and has a prior history of coronary artery disease. The patient presents today stating that his chest pain started yesterday evening and has been somewhat intermittent. The severity of the pain has progressively increased. He describes the pain as a sharp and heavy pain which radiates to his neck & left arm. He ranks the pain a 7 on a scale of 1-10. He admits some shortness of breath & diaphoresis. He states that he has had nausea & 3 episodes of vomiting tonight. He denies any fever or chills. He admits prior episodes of similar pain prior to his PTCA in 1995. He states the pain is somewhat worse with walking and seems to be relieved with rest. There is no change in pain with positioning. He states that he took 3 nitroglycerin tablets sublingually over the past 1 hour, which he states has partially relieved his pain. The patient ranks his present pain a 4 on a scale of 1-10. The most recent episode of pain has lasted one-hour. The patient denies any history of recent surgery, head trauma, recent stroke, abnormal bleeding such as blood in urine or stool or nosebleed.
REVIEW OF SYSTEMS: All other systems reviewed & are negative.
PAST MEDICAL HISTORY: Diabetes mellitus type II, hypertension, coronary artery disease, atrial fibrillation, status post PTCA in 1995 by Dr. ABC.
SOCIAL HISTORY: Denies alcohol or drugs. Smokes 2 packs of cigarettes per day. Works as a banker.
FAMILY HISTORY: Positive for coronary artery disease (father & brother).'''
result = pipeline.fullAnnotate(text)
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("ner_risk_factors_biobert_pipeline", "en", "clinical/models")
val text = "ISTORY OF PRESENT ILLNESS: The patient is a 40-year-old white male who presents with a chief complaint of "chest pain". The patient is diabetic and has a prior history of coronary artery disease. The patient presents today stating that his chest pain started yesterday evening and has been somewhat intermittent. The severity of the pain has progressively increased. He describes the pain as a sharp and heavy pain which radiates to his neck & left arm. He ranks the pain a 7 on a scale of 1-10. He admits some shortness of breath & diaphoresis. He states that he has had nausea & 3 episodes of vomiting tonight. He denies any fever or chills. He admits prior episodes of similar pain prior to his PTCA in 1995. He states the pain is somewhat worse with walking and seems to be relieved with rest. There is no change in pain with positioning. He states that he took 3 nitroglycerin tablets sublingually over the past 1 hour, which he states has partially relieved his pain. The patient ranks his present pain a 4 on a scale of 1-10. The most recent episode of pain has lasted one-hour. The patient denies any history of recent surgery, head trauma, recent stroke, abnormal bleeding such as blood in urine or stool or nosebleed.
REVIEW OF SYSTEMS: All other systems reviewed & are negative.
PAST MEDICAL HISTORY: Diabetes mellitus type II, hypertension, coronary artery disease, atrial fibrillation, status post PTCA in 1995 by Dr. ABC.
SOCIAL HISTORY: Denies alcohol or drugs. Smokes 2 packs of cigarettes per day. Works as a banker.
FAMILY HISTORY: Positive for coronary artery disease (father & brother)."
val result = pipeline.fullAnnotate(text)
import nlu
nlu.load("en.med_ner.risk_factors_biobert.pipeline").predict("""ISTORY OF PRESENT ILLNESS: The patient is a 40-year-old white male who presents with a chief complaint of "chest pain". The patient is diabetic and has a prior history of coronary artery disease. The patient presents today stating that his chest pain started yesterday evening and has been somewhat intermittent. The severity of the pain has progressively increased. He describes the pain as a sharp and heavy pain which radiates to his neck & left arm. He ranks the pain a 7 on a scale of 1-10. He admits some shortness of breath & diaphoresis. He states that he has had nausea & 3 episodes of vomiting tonight. He denies any fever or chills. He admits prior episodes of similar pain prior to his PTCA in 1995. He states the pain is somewhat worse with walking and seems to be relieved with rest. There is no change in pain with positioning. He states that he took 3 nitroglycerin tablets sublingually over the past 1 hour, which he states has partially relieved his pain. The patient ranks his present pain a 4 on a scale of 1-10. The most recent episode of pain has lasted one-hour. The patient denies any history of recent surgery, head trauma, recent stroke, abnormal bleeding such as blood in urine or stool or nosebleed.
REVIEW OF SYSTEMS: All other systems reviewed & are negative.
PAST MEDICAL HISTORY: Diabetes mellitus type II, hypertension, coronary artery disease, atrial fibrillation, status post PTCA in 1995 by Dr. ABC.
SOCIAL HISTORY: Denies alcohol or drugs. Smokes 2 packs of cigarettes per day. Works as a banker.
FAMILY HISTORY: Positive for coronary artery disease (father & brother).""")
Results
| | ner_chunk | begin | end | ner_label | confidence |
|---:|:-----------------------------------------|--------:|------:|:-------------|-------------:|
| 0 | diabetic | 135 | 142 | DIABETES | 0.9689 |
| 1 | prior history of coronary artery disease | 154 | 193 | CAD | 0.419617 |
| 2 | PTCA in 1995. | 698 | 710 | CAD | 0.574925 |
| 3 | Diabetes mellitus type II | 1314 | 1338 | DIABETES | 0.946325 |
| 4 | hypertension | 1341 | 1352 | HYPERTENSION | 0.956 |
| 5 | coronary artery disease | 1355 | 1377 | CAD | 0.7962 |
| 6 | Smokes 2 packs of cigarettes per day | 1480 | 1515 | SMOKER | 0.461643 |
Model Information
| Model Name: | ner_risk_factors_biobert_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 4.3.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 422.2 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- BertEmbeddings
- MedicalNerModel
- NerConverterInternalModel