Sistem Pendukung Keputusan Klinis dengan Memanfaatkan Jaringan Syaraf Tiruan Untuk Mendeteksi Stadium Penderita Kanker Paru-Paru Jenis Karsinoma Bukan Sel Kecil
Abstract: Lung cancer is
leading cause of death in the cancer group. In general, lung cancer has some
symptoms, but at an early stage, symptoms are not perceived by the patient. As
a result, when patients go to hospital, lung cancer has been diagnosed in middle
or high stage. For early detection of lung cancer, necessary a decision support
system based on computerized technology that can be utilized by doctor needed
to detection lung cancer. The clinical decision support system will help to
determine specific medical treatment. The clinical decision support system
capable to know data input and produce output result by learning process. The
learning process is part of process in
artificial neural network (ANN). Many methods used in ANN as Backpropagation (BP)learning
algorithm. BP used to produce output result in decision support system.
Keywords: lung cancer, stage,
clinical decision support systems, neural network, multilayer perceptron,
backpropagation algorithm
Penulis: Rio Kurniawan, Sri
Hartati
Kode Jurnal: jptinformatikadd110161
