Computational intelligence model for analysis of intricate details of pulmonary disorder patients
Keywords:
COPD, URTI, intelligence model, computational model, FFNNAbstract
A computational model is planned and designed using python as the programming language and atom text editor to analyze the medical issue of pulmonary patient in view of the information gathered from his/her breathing pattern. The span of breath and the breath rate are contributing as input parameter to the model and the computational model diagnoses the kind of issue that the patient is experiencing. This exploration work essentially focuses on two disorders, Chronic Obstructive Pulmonary Disease (COPD) and Upper Respiratory Tract Infection (URTI) and distinguishes the two cases from that of a healthy person. Based on the diagnosis carried out, it guides the particle size to be used in the nebulizer to treat the objective region of the lung. It additionally ascertains the level of wheeze and crackle in the breath of the patient.
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