def search_dict_for_breast_cancer_genes()

in files/lambda_code/call_cm_other_models_lambda.py [0:0]

• 19 lines of code
• 5 McCabe index (conditional complexity)

def search_dict_for_breast_cancer_genes(the_dict=None):
    '''search the comprehend medical output for breast cancer genes and augment the comprehend medical output. This modifies the input dictionary in place'''
    list_to_search=the_dict['Entities'] #only search the entities found by comprehend medical.
    for i in range(0,len(list_to_search)):
        try:
            dict_to_examine=list_to_search[i]
            the_text=dict_to_examine['Text']
            max_score=0
            #get score of best matching gene
            for j in range(0,len(list_of_genes)):
                the_score=get_match_score(string_1=list_of_genes[j],string_2=the_text,normalize_max=False)
                if the_score >= max_score:
                    max_score=the_score
            gene_score=max_score
            #hard code a score threshold. Do not report scores less than this.
            if gene_score >=.75:
                dict_to_append={"Name":"BREAST_CANCER_GENE",'Score':gene_score}
                dict_to_examine['Traits'].append(dict_to_append)
        except: #if the dictionary entry doesn't match, just skip it.
            pass
    return(the_dict)