edsnlp.pipelines.ner.scores.sofa.patterns

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

method_regex = 'sofa.*?((?P<max>max\\w*)|(?P<vqheures>24h\\w*)|(?P<admission>admission\\w*))(?P<after_value>(.|\\n)*)' module-attribute

value_regex = '.*?.[\\n\\W]*?(\\d+)[^h\\d]' module-attribute

score_normalization_str = 'score_normalization.sofa' module-attribute

score_normalization(extracted_score)

Sofa score normalization. If available, returns the integer value of the SOFA score.

Source code in edsnlp/pipelines/ner/scores/sofa/patterns.py

@spacy.registry.misc(score_normalization_str)
def score_normalization(extracted_score: Union[str, None]):
    """
    Sofa score normalization.
    If available, returns the integer value of the SOFA score.
    """
    score_range = list(range(0, 30))
    if (extracted_score is not None) and (int(extracted_score) in score_range):
        return int(extracted_score)