SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN KLINIS MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION UNTUK MENDETEKSI STADIUM PENDERITA KANKER PARU JENIS KARSINOMA BUKAN SEL KECIL; BACKPROPAGATION ARTIFICIAL NEURAL NETWORK BASED CLINICAL DECISION SUPPORT SYSTEM FOR NONSMALL CELL LUNG CANCER DETECTION

RIO KURNIAWAN, Sri Hartati

2011 | Disertasi | PROGRAM STUDI S2 ILMU KOMPUTER

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 is 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 learning algorithm (BP) which can be called BP. BP used to produce output result in decision support system

Kata Kunci : kanker paru, stadium, sistem pendukung keputusan klinis, jaringan syaraf tiruan, multilayer perceptron, algoritma backpropagation