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edsnlp.pipelines.ner.scores.elstonellis.patterns

regex = ['[Ee]lston (& |et |and )?[Ee]llis', '\\b[Ee]{2}\\b'] module-attribute

pattern1 = '[^\\d\\(\\)]*[0-3]' module-attribute

pattern2 = '.{0,2}[\\+,]' module-attribute

value_extract = '(?s).(\\({pattern1}{pattern2}{pattern1}{pattern2}{pattern1}\\))' module-attribute

score_normalization_str = 'score_normalization.elstonellis' module-attribute

score_normalization(extracted_score)

Elston and Ellis score normalization. If available, returns the integer value of the Elston and Ellis score.

Source code in edsnlp/pipelines/ner/scores/elstonellis/patterns.py 
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@spacy.registry.misc(score_normalization_str)
def score_normalization(extracted_score: Union[str, None]):
    """
    Elston and Ellis score normalization.
    If available, returns the integer value of the Elston and Ellis score.
    """
    try:
        x = 0
        for i in re.findall(r"[0-3]", extracted_score):
            x += int(i)

        if x <= 5:
            return 1

        elif x <= 7:
            return 2

        else:
            return 3

    except ValueError:
        return None