Diagnosis of Hepatitis Virus using Decision Tree and Genetic Algorithm | Zendy

Mariya Khatoon | Zendy; Abhay Kumar | Zendy

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Diagnosis of Hepatitis Virus using Decision Tree and Genetic Algorithm

Author(s) -

Mariya Khatoon,

Abhay Kumar

Publication year - 2019

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2019919539

Subject(s) - computer science , decision tree , hepatitis a virus , tree (set theory) , hepatitis virus , genetic algorithm , decision tree learning , decision tree model , hepatitis , artificial intelligence , algorithm , virology , virus , machine learning , medicine , mathematics , mathematical analysis

The aim of data mining is to extricate valuable information from large database. Data mining is the trending field of computer science which provides the efficient techniques and algorithms, performs in different domain like medical, education, business organization, banking sector, bioinformatics etc. in this paper we will provide the better algorithms to predict the presence and absence of hepatitis virus. Comparative analysis is done in this paper of decision tree and genetic algorithm to diagnose the hepatitis virus. Decision tree algorithm is used to predict the possible decisions to diagnose the hepatitis virus. And genetic algorithm is used to optimize the result.

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