Severity Exploratory Model Analysis of Chronic Obstructive Pulmonary Disease and Asthma with Heart Rate and SpO

摘要

collected via pulse oximeter. The goal of the work is to develop models, then to select the best predictive model and to compare the severity groups with clustering of the diseases. Severity estimation algorithms are built with mathematical functions. Finally, four hyper-parameter models and K Means Clustering algorithms are implemented for the distributions of severities of the diseases. The COPD and asthma severity models are capable to classify the subjects according to the GOLD and GINA severity stages respectively. The proposed solution can provide immediate feedback to the patient for self-awareness of the disease and sharing of the severity score with other community members can lead to an improvement of overall community health towards a Smart and Connected Community (SCC).