Spark NLP in Action

Automatically identify demographic information such as Date, Doctor, Hospital, ID number, Medical record, Patient, Age, Profession, Organization, State, City, Country, Street, Username, Zip code, Phone number in clinical documents using three of our pretrained Spark NLP models.

Automatically detect demographic information as well as vital signs using our out-of-the-box Spark NLP Contextual Rules. Custom rules are very easy to define and run on your own data.

Identify gender of a person by analyzing signs and symptoms using pretrained Spark NLP Classification model.

Automatically identify risk factors such as Coronary artery disease, Diabetes, Family history, Hyperlipidemia, Hypertension, Medications, Obesity, PHI, Smoking habits in clinical documents using our pretrained Spark NLP model.

Automatically classify medical text in PICO components: Participants/Problem, Intervention, Comparison, and Outcome.