Detect Smoking / Tobaco Entities (TOBACO_USE)

import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline

val ner_pipeline = PretrainedPipeline("ner_tobaco_use_benchmark_pipeline", "en", "clinical/models")

val text = """SOCIAL HISTORY : The patient is a nonsmoker . Denies any alcohol or illicit drug use . The patient does live with his family .
SOCIAL HISTORY : The patient smokes approximately 2 packs per day times greater than 40 years . He does drink occasional alcohol approximately 5 to 6 alcoholic drinks per month . He denies any drug use . He is a retired liquor store owner .
SOCIAL HISTORY : Patient admits alcohol use , Drinking is described as heavy , Patient denies illegal drug use , Patient denies STD history , Patient denies tobacco use .
SOCIAL HISTORY : The patient is employed in the finance department . He is a nonsmoker . He does consume alcohol on the weekend as much as 3 to 4 alcoholic beverages per day on the weekends . He denies any IV drug use or abuse .
SOCIAL HISTORY : She is married .Employed with the US Post Office .She is a mother of three . Denies tobacco , alcohol or illicit drug use . MEDICATIONS . Coumadin 1 mg daily .Last INR was on Tuesday , August 14 , 2007 , and her INR was 2.3.2 . Amiodarone 100 mg p.o . daily .
"""

val result = ner_pipeline.fullAnnotate(text)