edsnlp.pipelines.ner.scores.charlson.patterns

regex = ['charlson'] module-attribute

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

score_normalization_str = 'score_normalization.charlson' module-attribute

score_normalization(extracted_score)

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

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

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