Contemplation of Computational Methods and Techniques to Predict COPD

  • Shaila H. KoppadEmail author
  • S. Anupama Kumar
  • K. N. Mohan Rao
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)


Recent developments in healthcare industry gives an insight on the increase in the various diseases and its complications across the world. Some diseases can be diagonised and prevented in the early stage itself while others are not. The development in science and technology helps the people all over world to get their disease diagonised and treated for betterment of life. One chronic lung disorder that is geographically spread among people of all ages is Chronic Obstrchuctive Pulmonary Disease (COPD). This paper gives an insight on the health care issues related to COPD and how researchers handle the issues using statistical and computational technologies. This paper brings in the state of art research works carried over by various researchers regarding the cause and effect of the disease. The findings of the researchers in understanding the challenges in predicting the disease and handling the patients using statistical and computational tools is tabulated. This papers gives an insight into the shortcomings of the statistical techniques and the advantages of using computational techniques over it. The application of big data and analytics in health care industry to predict and diagonise COPD is convened.


Chronic Obstructive Pulmonary Disease (COPD) Global Initiative for Chronic Obstructive Lung Disease (GOLD) Logistic Regression (LR) Generalized Estimating Equations (GEE) Electronic Health Record (EHR) 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Shaila H. Koppad
    • 1
    Email author
  • S. Anupama Kumar
    • 1
  • K. N. Mohan Rao
    • 2
  1. 1.Department of MCARV College of EngineeringBengaluruIndia
  2. 2.Department of Pulmonary MedicineRajarajeshwari Medical CollegeBangaloreIndia

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