Models:
Philip Bordner
philipB/
edsnlp
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Downloads: 1
[cad161]: / tests / pipelines / ner / disorders / tobacco.py

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48 lines (47 with data), 846 Bytes 

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results_tobacco = dict(

    has_match=[

        True,

        True,

        False,

        True,

        True,

        True,

        True,

        True,

        True,

    ],

    detailled_status=[

        None,

        None,

        None,

        "ABSTINENCE",

        None,

        None,

        "ABSTINENCE",

        None,

        None,

    ],

    negation=[

        None,

        None,

        None,

        None,

        True,

        True,

        None,

        True,

        True,

    ],

    assign=[{"PA": 15}] + 8 * [None],

    texts=[

        "Tabagisme évalué à 15 PA",

        "Patient tabagique",

        "Tabagisme festif",

        "On a un tabagisme ancien",

        "Tabac: 0",

        "Tabagisme passif",

        "Tabac: sevré depuis 5 ans",

        "Le patient ne fume aucun truc.",

        "Le patient fume 0 PA.",

    ],

)