Chronic renal disease is one of the most important public health problems all over the world. According to the Taiwan Society of Nephrology, the incident of dialysis in Taiwan ranked first in the world’s new patient of dialysis was added every 1.2 hours; the number of chronic renal disease patients from stage III to stage V is estimated to reach up to 1.15 million, exceeding the number of million of diabetes patients. End stage renal disease is usually slowly transformed from the chronic renal disease stage I to stage V. If we discover the symptom and put it into remedy early, we can stop the end stage renal disease from rising, and then improve the early onset of end stage renal disease so as to reduce the waste of health care recourses. This study refers to the cases of chronic renal disease patients managed by a southern regional hospital, expecting by data mining techniques for all stages of chronic kidney disease and the evolution of information and data for the statistical analysis to identify variables affecting the meaning of various statistical data. Against the findings of this study are some suggestions to provide clinical staff with appropriate medical treatment, care and health education services to chronic renal disease patients of all stages.