edsnlp.pipelines.ner.scores.emergency.ccmu.patterns

regex = ['\\bccmu\\b'] module-attribute

after_extract = 'ccmu.*?[\\n\\W]*?(\\d+)' module-attribute

score_normalization_str = 'score_normalization.ccmu' module-attribute

score_normalization(extracted_score)

CCMU score normalization. If available, returns the integer value of the CCMU score.

Source code in edsnlp/pipelines/ner/scores/emergency/ccmu/patterns.py

@spacy.registry.misc(score_normalization_str)
def score_normalization(extracted_score: Union[str, None]):
    """
    CCMU score normalization.
    If available, returns the integer value of the CCMU score.
    """
    score_range = [1, 2, 3, 4, 5]
    if (extracted_score is not None) and (int(extracted_score) in score_range):
        return int(extracted_score)