Classification of Liver Diseases Using Intelligent Techniques

EasyChair Preprint 5451

Abstract

Liver diseases are the leading cause of deaths in most of the countries. Patients with liver disease have been steadily increasing as a result of alcohol abuse, inhaling harmful gases, eating contaminated food, heavy drinking of local beverage and drugs. Prolonged drinking habits are directly attributed in the linkage of an increased risk of developing various liver diseases that can lead to preventable deaths if diagnosed early. “Identifying a liver patient in the early stages of the disease (i.e., even minor liver damage) is difficult. Early detection of liver problems will increase a patient's survival rate.” [4] In the database, we have about 600 patient details thus creating the learning filters for Good or Bad machine. “Performance is measured in terms of accuracy, precision and recall measures. The results of the various dividers are obtained using the proposed algorithm” [11] for selecting the proposed feature. From the analysis and comparative analysis, we will be able to increase the accuracy of the categories and lead to a reduction in the Classification time and ultimately help to predict the disease accurately or accurately

Keyphrases: Classification, Decision Tree, machine learning

@booklet{EasyChair:5451,
  author    = {Shreyansh Jain and Ritik Sharma and R. Rajkamal},
  title     = {Classification of Liver Diseases Using Intelligent Techniques},
  howpublished = {EasyChair Preprint 5451},
  year      = {EasyChair, 2021}}