#!/usr/bin/python # -*- coding: utf-8 -*- __author__ = 'kevin' import numpy from mdat.util import calculate_dv_similarity if __name__ == '__main__': diseases = [] with open('../data/disease_names.txt') as f: for line in f.readlines(): diseases.append(line.strip('\n\r')) similarity = [] for disease_1 in diseases: cu = [] for disease_2 in diseases: cu.append(calculate_dv_similarity(disease_1, disease_2)) similarity.append(cu) a = numpy.asarray(similarity) numpy.savetxt("disease_similarity_result.csv", a, delimiter=",")
#!/usr/bin/python # -*- coding: utf-8 -*- from mdat.util import calculate_dv_similarity, calculate_dv_value, get_mesh_tags_by_title if __name__ == '__main__': print calculate_dv_similarity('ACTH-Secreting Pituitary Adenoma', 'Adenoma') a_tags = get_mesh_tags_by_title('Breast Neoplasms') print calculate_dv_value(a_tags)