Use cases

Outcome :-

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

Comparing results from ML algorithms with
rule-based approaches

Outcome:-

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
patients.

Outcome:-

Building dictionaries and creating features for
concept extraction

Clarifying assertions using SVM and rule
based classifiers

Outcome:-

Deidentifying symptoms of obesity and
comorbidities from discharge summaries

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