{'fraction_non_alphanumeric': 0.020689655172413793, 'fraction_numerical': 0.009195402298850575, 'mean_word_length': 5.357664233576642, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
[Informative value of diagnostic tables for detection of tuberculosis and related lung diseases].

Different models of algorithms for the immunologic diagnosis of pulmonary tuberculosis, cancer, nonspecific inflammation and sarcoidosis were developed. A comparative assessment of the effectiveness of 3 versions of Diagnostic Tables was made. A significant advantage of these Diagnostic Tables based on the analysis of immunologic indices characterizing groups of patients with different forms of the process was defined, as they are seen in the X-ray pictures (3d version). A differential diagnosis of tuberculosis and nonspecific lung diseases made by the 3d version of the tables showed that correct and incorrect answers made up 87.6 and 6.8%, respectively. The developed method of immunodiagnosis can be of great help in the differential diagnosis of lung diseases.