Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Recognition of Death Prone Fractures Using Data Mining Techniques

Author : R. Raja Subramanian 1 Dr. S. Poonkuntran 2

Date of Publication :7th March 2016

Abstract: Fracture is one of the causes of unexpected death of patients with infections in major organs such as kidney, heart, lung, brain. Recognition of such death causing fractures along with the risk factors help saving the life of fellow human beings. Even medical experts treat fractures as easily curable and harmless except few fractures. But even fracture in Clavicle can cause death in association with lung failure. Hence data mining techniques such as Classification, Association rule mining and Regression Model can be used in recognizing such fracture types and in calculating the risk factor associated with that fracture in the patients. Thus prevent the death of patients due to lack of knowledge of the ailment and lack of prior treatment. Proper treatment need to be practiced for such ailments by considering the other infections in the major organs of the patient. Lack of treatment can make the ailment fatal.

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