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
You Might Also Like
Full Control for Complex IT - Try PRTG Now
As an IT monitoring expert, you need more than basic alerts - you need actionable data and full transparency. PRTG gives your team a single pane of glass for all systems, devices, and applications, with customizable dashboards and granular user management. Detect issues before they escalate, automate reporting, and ensure compliance with SLAs. PRTG’s scalable engine and advanced analytics help you optimize resources, reduce manual effort, and keep your organization running smoothly. Take control of your IT landscape and make smarter decisions with real-time, enterprise-grade monitoring.
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