Abstract:
In this Advanced era Chronic Inflammatory lung disease is increasing day by day. Chronic
Obstructive Pulmonary Disease (COPD) is one of them which is highly conventional
disease characterized by obstructed air flow from the lung. According to research, COPD
occurs in people over the age of 40. The amount of affecting rates is getting increased for
smoking rates, pollution, industrial pollution in the developed World. Though we believe
in advance Era but we don't have sufficient awareness about COPD. People also don't know
the level of COPD are currently affected. As like other disease COPD also has some state
of condition like (mild, moderate, severe, very severe).
Here we implement machine learning algorithm which build a model. Model predict a level
of Chronic Obstructive pulmonary Disease Level. We Learn our model with the symptom’s
basis data. Our system predicts the disease if have then it will give the level of the disease
analyzing the symptoms provide by the user as input.
Prediction of chronic obstructive pulmonary disease is done by implementing Machine
Learning Algorithms such as Logistic Regression, Decision Tree Classifier, K-Nearest
Neighbor, Naïve Bayes. Therefore, we can say our model and data set have more
information than past utilize. Finally, our model has standard functional testing.
