Big Data Analytics for Childhood Pneumonia Monitoring

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Author(s): Suresh Kumar Peddoju (Kakatiya Institute of Technology and Science, India), Kavitha K. (Indian Institute of Technology, India)and Sharma S. C. (Indian Institute of Technology, India)
Copyright: 2017
Pages: 22
Source title: Cloud Computing Systems and Applications in Healthcare
Source Author(s)/Editor(s): Chintan M. Bhatt (Charotar University of Science & Technology, India)and S. K. Peddoju (Indian Institute of Technology Roorkee, India)
DOI: 10.4018/978-1-5225-1002-4.ch005

Keywords: Cloud Computing / Computer Science & IT / Medical Information Science Reference / Medical Technologies

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Abstract

In developing countries pediatric pneumonia is the second leading cause of deaths and 98% of pneumonia-induced deaths are identified across the world. It is mandatory to identify the symptoms of pneumonia in children to avoid mortality causing complications. Early identification of children at risk for treatment failure or at increased risk for death will help to improve overall health outcomes. If pneumonia is suspected, it is important to seek medical attention promptly so that an accurate diagnosis can be made and appropriate treatment is given in time. The proposed approach quickly provides history of previous patient's details, expert doctor's opinions who are in globe and their previous treatment for the same symptoms, all diagnostic reports such as blood tests, x-ray etc., from the cloud and gives analytics from big data to take fast and precise decisions by the doctors.

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Big Data Analytics for Childhood Pneumonia Monitoring

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