A Novel Decision Tree Based Approach for Predicting the Severity of Obstructive and Restrictive Lung Diseases Using Spirometry Data in Association with Environment and Genetic Factors

Abstract

The new technical work is typically a decision based scheme employed for assessing the criticality of obstructive and restrictive lung diseases observed in south Indian ethnic group. This technical work is involved with a dataset that is multi perspective, encompassing the pulmonary function test report (Spirometry test data), along with the parental history of lung disease and also the environmental parameters(working and living environment) in addition to cigarette smoking, for a considerable result of classification. This research work, not just depends upon spirometry test data, with the help of which clinical reports are generated, it also takes regards and relates the parental history and environmental factors in additions to cigarette smoking, so as to help the medical professional in treating the fourth prominent cause of mortality all over the whole world. This technique of classifying and predicting the status of the patients, considerably wires the decision support associated with the criticality of lung diseases. These decisions that are dependent upon classifications carried out employing data mining methods will substantially provide support to the Doctors and healthcare professional for making the diagnosis of the patients to be still better. newlineDifferent Data Mining Tools and methodologies Chronic Obstructive Pulmonary Disease. The term of Lung disease or Respiratory disease indicates several disorders that affect the lungs, including asthma, COPD, infections such as influenza, pneumonia and tuberculosis, lung cancer, and various other breathing issues. Chronic Obstructive Pulmonary Disease (COPD) is the fourth prominent reason of mortality in the whole world and indicates one of the important reasons of chronic morbidity. Cigarette smoking is the most significant risk factor for COPD. In the patients affected by this, the limitation of airflow results from a mix of small airways disease and parenchyma destruction, whose relative contribution differs between persons. Currently, a very huge amount of