clinlp

:hospital: clinical + :netherlands: nl + :clipboard: NLP = :sparkles: clinlp

:star: NLP tools and algorithms for clinical text written in Dutch

:triangular_ruler: Organized in a standardized but flexible framework using spaCy

:rocket: Production-ready, performant, well-tested and easy to use

:bulb: Free, open source, created and maintained by the Dutch Clinical NLP community

Contact

If you have questions, need help getting started, found a bug, or have a feature request, please don't hesitate to contact us!

Getting started

Installation

pip install clinlp

Example

import spacy
from clinlp.ie import Term

nlp = spacy.blank("clinlp")

# Normalization
nlp.add_pipe("clinlp_normalizer")

# Sentences
nlp.add_pipe("clinlp_sentencizer")

# Entities
terms = {
    "prematuriteit": [
        "preterm", "<p3", "prematuriteit", "partus praematurus"
    ],
    "hypotensie": [
        "hypotensie", Term("bd verlaagd", proximity=1)
    ],
    "veneus_infarct": [
        "veneus infarct", Term("VI", attr="TEXT")
    ]
}

entity_matcher = nlp.add_pipe("clinlp_rule_based_entity_matcher", config={"attr": "NORM", "fuzzy": 1})
entity_matcher.add_terms_from_dict(terms)

# Qualifiers
nlp.add_pipe("clinlp_context_algorithm", config={"phrase_matcher_attr": "NORM"})

text = (
    "Preterme neonaat (<p3) opgenomen, bd enigszins verlaagd, familieanamnese vermeldt eveneens hypotensie "
    "bij moeder. Thans geen aanwijzingen voor veneus infarkt wat ook geen "
    "verklaring voor de partus prematurus is. Risico op VI blijft aanwezig."
)

doc = nlp(text)

Find information in the Doc object:

from spacy import displacy

displacy.render(doc, style="span", options={'spans_key': 'ents'})

With relevant qualifiers (defaults omitted for readability):

for ent in doc.spans["ents"]:
  print(ent, ent._.qualifiers_str)

Preterme set()
<p3 set()
bd enigszins verlaagd set()
hypotensie {'Experiencer.Family'}
veneus infarkt {'Presence.Absent'}
partus prematurus set()
VI {'Temporality.Future'}

Documentation

The full documentation can be found at https://clinlp.readthedocs.io.

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