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IJSTR >> Volume 9 - Issue 1, January 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Machine Learning Algorithms For Diagnosis Of Leukemia

[Full Text]



Italia Joseph Maria, T. Devi, D. Ravi



Comparison of Machine Learning Algorithms, Leukemia Diagnosis, Leukemia Classification, Machine Learning



Leukemia is cancer of the blood, which includes the bone marrow and the lymphatic tissues, usually involving white blood cells. Unlike usual cancer, leukemia does not form solid tumours, but form large number of abnormal white blood cells which crowd out the normal blood cells. Machine Learning algorithms are largely employed in the treatment of Leukemia, be it for classification of different leukemia types or for detecting if leukemia is present in a patient. This paper describes Support Vector Machines, k-Nearest Neighbour, Neural Networks, Naïve Bayes and Deep Learning algorithms which are used to classify leukemia into its sub-types and presents a comparative study of these algorithms.



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