A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Diagnosis of Hepatitis Virus using Decision Tree and Genetic Algorithm
2019
International Journal of Computer Applications
Preserved Fulltext
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
doi:10.5120/ijca2019919539
fatcat:6s5lynqxyzhizitrcarz52pnae