Use cases

Outcome :-

De-identifying personal health information from
patient’s discharge summaries

Comparing results from ML algorithms with
rule-based approaches


Identify risk factors for heart disease in diabetic
patients over time.

Create a set of text annotations that track the
progression of heart disease in diabetic


Building dictionaries and creating features for
concept extraction

Clarifying assertions using SVM and rule
based classifiers


Deidentifying symptoms of obesity and
comorbidities from discharge summaries

Classifying a particular discharge summary into
present, absent, questionable, unmentioned.