Comparison of neuro-fuzzy based techniques in nasopharyngeal carcinoma recurrence prediction

• Main Authors: Orrawan Kumdee, Hirosato Seki, Hiroaki Ishii, Thongchai Bhongmakapat, Panrasee Ritthipravat
• Other Authors: Mahidol University
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: Computer Science; Mathematics
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/27450

This paper aims to compare neuro-fuzzy based techniques for effective prediction of nasopharyngeal carcinoma (NPC) recurrence. The techniques include an artificial neural network (ANN), adaptive neuro-fuzzy inference systems (ANFIS), the functional-type single input rule modules connected fuzzy infe...