Contemplation of Computational Methods and Techniques to Predict COPD
| Autor: | K. N. Mohan Rao, S. Anupama Kumar, Shaila H. Koppad |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
COPD
business.industry Computer science Contemplation media_common.quotation_subject Big data Pulmonary disease Disease medicine.disease Data science 03 medical and health sciences 0302 clinical medicine 030228 respiratory system Analytics Health care medicine State of art 030212 general & internal medicine business media_common |
| Zdroj: | Intelligent Data Communication Technologies and Internet of Things ISBN: 9783030340797 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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