ENHANCING CANCER DETECTION WITH MACHINE LEARNING: DEVELOPMENT OF A MODEL USING IBM CLOUD TECHNOLOGY

Cancer early detection is vital and has become a major research area for health and computing research. The collaboration between the two fields is essential as more efficient algorithms in machine learning is required. This paper is a demonstration of cancer detection using the IBM machine learning cloud in which different algorithms has been embedded. The Breast Cancer Wisconsin (Diagnostic) Dataset (WDBC) consisting of trained and untrained is used for the analysis. The result shows high rate of accuracy in detecting cancer. The results can also be viewed in different format, thereby making the IBM machine learning cloud an effective means of achieving a comprehensive simulation