Evaluation of artificial neural network and adaptive-network-based fuzzy inference system for ovarian and lung cancer prediction
Semih Latif İpek,
Dilek Göktürk
Abstract:Aims: Every year, a significant number of individuals lose their lives due to cancer or undergo challenging treatments. Indeed, the development of an effective cancer prediction method holds great importance in the field of healthcare.
Methods: Machine learning methods have played a significant role in advancing cancer prediction models. In this context, this study focuses on exploring the potential of two machine learning methods: Artificial neural network (ANN) and adaptive-network-based fuzzy inference syst… Show more
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