{'fraction_non_alphanumeric': 0.0054249547920434, 'fraction_numerical': 0.0, 'mean_word_length': 5.7560975609756095, '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}}
Design of Logistic Regression Health Assessment Model Using Novel Quantum PSO

Logistic regression health assessment is an important direction to make full use of modern information technology knowledge. A novel quantum particle swarm optimization is used in this paper to study and develop related technical level and realize early identification and intervention of disease risk factors. The comparative experimental results verify the effectiveness and the proposed method is an effective method to design Logistic regression health assessment model.