NEURAL NETWORK OPTIMIZATION WITH PARTICLE SWARM OPTIMIZATION AND BAGGING METHODS ON CLASSIFICATION OF SINGLE PAP SMEAR IMAGE CELLS

NEURAL NETWORK OPTIMIZATION WITH PARTICLE SWARM OPTIMIZATION AND BAGGING METHODS ON CLASSIFICATION OF SINGLE PAP SMEAR IMAGE CELLS

In this study, an automatic diagnosis analysis of the results of pap smear image extraction using neural network algorithms, the analysis included a review of the results of Herlev pap smear extraction level 7 grade, 2 normal and abnormal classes, 3 classes of normal level dysplasia and 4 classes of abnormal dysplasia levels.The problem is that neu

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A Study on the Factors Influencing the Comprehensive Risk of Cardiovascular Disease in Elderly Patients with Chronic Disease in Primary Care

Background Cardiovascular disease is the primary cause of death and Disease burden of Chinese residents, and the situation of prevention and control is grim.Management of risk factors for cardiovascular disease is an important foundation for preventing cardiovascular disease.However, there is currently limited research on the influencing risk facto

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