Spark NLP for Healthcare Analyze non-English Medical Text
ICD10 coding for German
Automatically detect the pre and post op diagnosis, signs and symptoms in your German healthcare records and automatically link them to the corresponding ICD10-CM code using Spark NLP for Healthcare out of the box.
Detect symptoms, treatments and other NERs in German
Automatically identify entities such as symptoms, diagnoses, procedures, body parts or medication in German clinical text using the pretrained Spark NLP clinical model ner_healthcare.
Detect legal entities in German
Automatically identify entities such as persons, judges, lawyers, countries, cities, landscapes, organizations, courts, trademark laws, contracts, etc. in German legal text using the pretrained Spark NLP models ner_legal.
Detect traffic information in text
Automatically extract geographical location, postal codes, and traffic routes in German text using our pretrained Spark NLP model.
Detect Diagnoses And Procedures In Spanish
Automatically identify diagnoses and procedures in Spanish clinical documents using the pre-trained Spark NLP clinical model.
Logical Observation Identifiers Names and Codes (LOINC)
Map clinical NER entities to Logical Observation Identifiers Names and Codes (LOINC) using our pre-trained model.
Map Healthcare Codes
These pretrained pipelines map various codes (e.g., ICD10CM codes to SNOMED codes) without using any text data.