edsnlp.pipelines.ner.scores.emergency.priority.patterns

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

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

score_normalization_str = 'score_normalization.priority' module-attribute

score_normalization(extracted_score)

Priority score normalization. If available, returns the integer value of the priority score.

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

@spacy.registry.misc(score_normalization_str)
def score_normalization(extracted_score: Union[str, None]):
    """
    Priority score normalization.
    If available, returns the integer value of the priority score.
    """
    score_range = list(range(0, 6))
    if (extracted_score is not None) and (int(extracted_score) in score_range):
        return int(extracted_score)