Journal of Cancer Science and Research
Open Access

Department of Computer Engineering, Islamic Azad University, Qom, Iran

Publications

• Research Article   
  Analyzing the Impact of Epidermoid and Adeno Tissue on Cancer Incidence with a Data Mining Approach
  Author(s): Mohsen Ghorbian*
  
  Early detection is the only way to effectively control diseases whose treatment can be challenging, expensive, and time-consuming. Identifying the influencing factors in the occurrence of disease can, therefore, reduce the time associated with diagnosis and provide a solid foundation for improving the prognosis and preventing patients' deterioration. Applying data mining techniques as a novel approach to the early detection of disease-causing agents can significantly assist the early detection. In this study, an attempt was made to investigate the effect of epidermoid and adeno tissues on the incidence of cancerous diseases such as bone, bone marrow, lung, and neck cancer by conducting a data mining process on cancer patient data sets. Hence, implementing two data mining techniques, K-Nearest Neighbour (KNN) and decision tree, on the data of patients with these fo.. View More»
  DOI: 10.35248/2576-1447.23.8.538

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