Spark NLP for Healthcare Social Determinants
Detect demographic information
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.
Detect demographics and vital signs using rules
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 using context and medical records
Identify gender of a person by analyzing signs and symptoms using pretrained Spark NLP Classification model.
Detect risk factors
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.
Classify medical text according to PICO framework
Automatically classify medical text against PICO classes: CONCLUSIONS, DESIGN_SETTING, INTERVENTION, PARTICIPANTS, FINDINGS, MEASUREMENTS and AIMS.