How to use the deduce.utility.flatten_text function in deduce
To help you get started, we’ve selected a few deduce examples, based on popular ways it is used in public projects.
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vmenger / deduce / deduce / deduce.py View on Github 
text = text.replace("<", "(")
text = text.replace(">", ")")
# Deidentify names
if names:
# First, based on the rules and lookup lists
text = annotate_names(text, patient_first_names, patient_initials,
patient_surname, patient_given_name)
# Then, based on the context
text = annotate_names_context(text)
# Flatten possible nested tags
if flatten:
text = flatten_text(text)
# Institutions
if institutions:
text = annotate_institution(text)
# Geographical locations
if locations:
text = annotate_residence(text)
text = annotate_address(text)
text = annotate_postalcode(text)
# Phone numbers
if phone_numbers:
text = annotate_phonenumber(text)deduce
Deduce: de-identification method for Dutch medical text
