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Publication Type : Conference Paper
Publisher : IEEE
Source : In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1722-1728). IEEE.
Url : https://ieeexplore.ieee.org/document/9432173
Campus : Chennai
School : School of Engineering
Department : Computer Science and Engineering
Year : 2021
Abstract : Recently machine learning have been a field of interest for many researchers. Machine learning holds applications in tremendous sectors like healthcare, e-commerce and so on. It plays a vital role in the field of healthcare by their significant contribution through its ability to read from the historic/ past data especially in the diagnosis/predicting of diseases. Many classification algorithms have been proposed for the prediction process. The problem with classifiers is their vast variety and difficulty in choosing an appropriate method for the particular problem. To overcome the issue of selecting the appropriate method a comprehensive study on various classifiers should be done. This paper focuses on the working of various classifiers for prediction of prostate Cancer in calculating the level of efficiency in prediction and this helps in selecting the best method.
Cite this Research Publication :
Bellad, S.C., Mahapatra, A., Ghule, S.D., Shetty, S.S., Sountharrajan, S., Karthiga, M. and Suganya, E., 2021, May. Prostate Cancer Prognosis-a comparative approach using Machine Learning Techniques. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1722-1728). IEEE.