Prediction of Therapeutic Data Analytics: Analysing the Mode of Pain in Periarthritis Shoulder Using Apache Pig with Hadoop

Authors

  • B. Triveni, P. Bhargavi

Abstract

 The patients suffering from various types of Shoulder pain are increasing day by day. Accumulating, managing and analysing   the large volume of heterogeneous data produced from various sources is difficult. Big data Analytics has an ability to collect and analyse the huge amounts of data related to shoulder pain. Periarthritis shoulder pain is an aching and disabling disorder effecting 3% to 5% of population in which the shoulder joint capsule that surrounds the glenohumeral joint of the shoulder becomes inflamed and rigid there by limits the motion and causes chronic  pain. This generally, happens when shoulder has not been mobilized for a period of time due to surgery, a fracture or injury. Correct diagnosis of Periarthritis Shoulder pain is supportive in providing reasonable and effective treatment for patients. This paper has provided Apache Pig framework built on top of Hadoop for predicting the mode of pain in Periarthritis Shoulder pain which could be useful for physiotherapist to take correct decision.

Downloads

Published

2020-05-17

Issue

Section

Articles