Download
Medical Datasets (In a text file, with space separated values) can be loaded to the system.
By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
License
GNU General Public License version 2.0 (GPLv2)Follow Computer Aided Disease Detection System
nel_h2
Secure User Management, Made Simple | Frontegg
Frontegg powers modern businesses with a user management platform that’s fast to deploy and built to scale. Embed SSO, multi-tenancy, and a customer-facing admin portal using robust SDKs and APIs – no complex setup required. Designed for the Product-Led Growth era, it simplifies setup, secures your users, and frees your team to innovate. From startups to enterprises, Frontegg delivers enterprise-grade tools at zero cost to start. Kick off today.
Rate This Project
Login To Rate This Project
User Reviews
-
When the user is supposed to choose and combine the techniques in Weka, it is very likely it is impossible to come up with the best choice unless the user is an expert in data mining as well as knowledgeable about the characteristics of the concerned dataset. The initial choices are already applied in system’s implementation and the rest of the choices are made by the system itself during the training
-
While Weka is a generalised solution for datamining problems, this application focuses on medical domain. This removes the unnecessary overheads that is introduced in Weka.
-
A good application in the medical field