A Comparatively Study of Machine Learning Approaches to Predict Service of Disease Haemophilia A

Abstract

This paper has motivation behind well-organism prediction of disease severity of Haemophilia, which is defined as an X-linked genetic illness due to deficiency of protein factor vIII. Severity of the diseases depends on mutation. Computational biology is described for mutation in Haemophilia. impact of this disease, its feature. There are various researchers to define the Machine Learning methodology to visualize the mutation severity of the disease Haemophilia. The high time complexity, training time, dimensional data and accuracy of different approaches of Machine Learning technologies for for cast of disease severity of Hemophilia A is compared and explained in this paper.