Prediction Model for Breast Cancer Diagnosis using Baysian Algorithm
Yong-Gyu Jung, Yeon-Joo Lee, Jae-Kang Won · 한국인터넷방송통신학회 논문지 · 2012
Abstract Currently datamining sector is interested and applied in many areas. In other words, datamining is predicting the future to discover hidden correlations and make decisions. To interpret data on various aspects can be converted to real expectation. Analyzing the results even a simple can be found big difference. The properties associated with breast cancer by about applying bayesian theory is used to predict the probability. In the past patient data, doctors may be obtaining by applying evidence-based care for patients with the results of examination and By using the the past patient data.