Comparative analysis of thyroid disease and predict them using machine learning techniques
Keywords:
thyroid disease, bioinformatics, machine learning, random forest, k-nearest neighbour, support vector machineAbstract
Bioinformatics is the field of research where the computational process has been used to analyse biological information. Genetic structure of a living creature decides the characteristics of the creature. By analysing the genetic structure, the details about the living creature can be known. Any disease occurred, is generated by the effect of any microorganisms. The genetic structure of the microorganisms has to know to deal with the microorganisms. The genetic structure of the microorganisms is very much useful to discover drug to protect the disease caused by the microorganisms. Similarly, in human body, some disease occurred due to the abnormal functionality of the human organs. These abnormal functionalities have been caused by the disputes in the genetic structure of the human beings. Thyroid is a disease caused by the abnormal functionality of the Thyroid gland. Bioinformatics based research work helps to identify the genetic structures of human being that is responsible for the thyroid disease. In this work, Bioinformatics technique has been applied to deal with the Thyroid disease.
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