"Wart Immunotherapy Prediction App" is a medical Decision Support System (DSS) that helps doctors to decide whether Immunotherapy is the right treatment method for their patients. Based on the given information about the patient - age, gender, time before treatment, number of warts, type of warts, surface area of the biggest wart and induration diameter of initial test - the app predicts the result of the treatment.
Predictions are based on a model (decision tree) trained using J48 classification algorithm with 10-fold cross-validation and "Weka 3: Machine Learning Software in Java".
The dataset that used for training and testing the model can be found here.
This is a student project for "Decision Support Systems" course of department of Informatics - Ionian University.
Report (Greek)
for Android 4.3 Jelly Bean or newer version here.
The final decision should not be 100% based on the app's prediction!
The app's accuracy is 76.3% and is correctly predicting A* 68.4% and B** 84.2% of time.
*Immunotherapy is the right method cases.
**Immunotherapy is not the right method cases.
See the LICENSE file for license rights and limitations (MIT).