Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree
by Ranjit Panigrahi; Moumita Pramanik; Udit Kumar Chakraborty; Akash Kumar Bhoi
International Journal of Computer Applications in Technology (IJCAT), Vol. 64, No. 4, 2020

Abstract: The mortality rate of patients who have cancer is the second highest cause of death around the globe. Hepatocellular Carcinoma (HCC), a type of liver cancer, is once such a cause of death. Though the probability of survival of patients is very rare, a mechanism to predict chances of survivability will provide a great aid to the medical practitioners to treat patients suffering from HCC. In this article, two state of the art survivability prediction schemes have been proposed separately for male and female subjects suffering HCC. The prediction engine employs Feature Selection Via (FSV) concave minimisation feature ranking and Sigmis feature selection scheme to extract limited features of both male and female subjects and an ensemble of decision tree grafting mechanism successfully predicts the chances of survivability of HCC patients. The gender-specific survivability prediction engine is the first-ever such prediction model for the diagnosis of HCC.

Online publication date: Thu, 28-Jan-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com