Penerbit

Pengarang

Tinawati Pasaribu, Prabowo Pudjo Widodo;

Judul

Judul Artikel

Study on the application of neural network model for prediction of breast cances stadium A-83 - A-88

Nama Prosiding

Proceeding international seminar on scientific issues and trends (issit) 2013 "reforming transparency and accountability through development of e-gofernment" october 26th, 2013 academy of bina sarana informatika

Bahasa

Abstrak Indonesia

Abstrak English

In one of the known data mining models can be used to predict disease stage breast cancer, the artificial neural network model (neural network). this model has a lot of algorithmns, each of which has a different lever of accuracy. algorithm used in this study multilayer perceptron (MLP) and radial basis function (RBF) to predict disease stage breast cancer. both algorihmns are chosen because they are commonly used algorithms. the dara are obained form http://archieve.isc.edu/ml/datasets.html.the data studied is the result of the examination of the 699 people in the ministry of health of wiscoconsin, madison. USA. to implement the algorithm used MLP And RBF NeuralNetwork software SPSS 17.0. The result of the application then dikomparasi using confusion matrix and the ROC curve. based on this study proved that the RBF algorithm has a higher accuracy than MLP.

Kata Kunci

Tahun

2013

No. Panggil

SEM-352