AIDS[source]

The eds.aids pipeline component extracts mentions of AIDS. It will notably match:

• Mentions of VIH/HIV at the SIDA/AIDS stage
• Mentions of VIH/HIV with opportunistic(s) infection(s)

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Extensions

On each span span that match, the following attributes are available:

• span._.detailed_status: set to None
• span._.assigned: dictionary with the following keys, if relevant:
  • opportunist: list of opportunist infections extracted around the HIV mention
  • stage: stage of the HIV infection

Examples

import edsnlp, edsnlp.pipes as eds

nlp = edsnlp.blank("eds")
nlp.add_pipe(eds.sentences())
nlp.add_pipe(
    eds.normalizer(
        accents=True,
        lowercase=True,
        quotes=True,
        spaces=True,
        pollution=dict(
            information=True,
            bars=True,
            biology=True,
            doctors=True,
            web=True,
            coding=True,
            footer=True,
        ),
    ),
)
nlp.add_pipe(f"eds.aids")

Below are a few examples:

text = "Patient atteint du VIH au stade SIDA."
doc = nlp(text)
spans = doc.spans["aids"]

spans
# Out: [VIH au stade SIDA]

text = "Patient atteint du VIH."
doc = nlp(text)
spans = doc.spans["aids"]

spans
# Out: []

text = "Il y a un VIH avec coinfection pneumocystose"
doc = nlp(text)
spans = doc.spans["aids"]

spans
# Out: [VIH]

span = spans[0]

span._.assigned
# Out: {'opportunist': [coinfection, pneumocystose]}

text = "Présence d'un VIH stade C"
doc = nlp(text)
spans = doc.spans["aids"]

spans
# Out: [VIH]

span = spans[0]

span._.assigned
# Out: {'stage': [C]}

Parameters

Authors and citation

The eds.aids component was developed by AP-HP's Data Science team with a team of medical experts, following the insights of the algorithm proposed by Petit-Jean et al., 2024.