Predicting Emergency Department Visits for Asthma-Related Issues Using Online Networking |
Author(s): |
| Priyadarshini.M.R , HKBK College of Engineering; Chandrakala.H.L, HKBK College of Engineering |
Keywords: |
| Asthma, Emergency Department, Twitter Information, Google Seek Interests, Environment Sensor Information |
Abstract |
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Asthma is a chronic incendiary issue of the aviation routes described by an airflow obstruction which cannot be completely cured, but appropriate measures could be taken to avoid or to control One such solution to treat the patients affected by asthma would be to send an Emergency Department. By doing so the patients could get treatment when needed and can be directed towards not so much excessive but rather more effective consideration locales. The main aim here is to predict the Emergency Department visits for asthma-related issues at constant or close ongoing using online networking such as Twitter information, Google search interests and Environment sensor data. Given these three information as input accurate results of the location where many people are affected can be obtained. |
Other Details |
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Paper ID: IJSRDV4I30250 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 204-206 |
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