Application of WOA-SVM Based Algorithm in Tumor Cell Detection Research.

Early screening of cancer is crucial for patients’ survival time and quality of life. Based on this, this essay suggests a tumor cell detection technique based on a combination of whale optimization technique is proposed and support vector machine. Firstly, tumor cells are categorized using the support vector machine technique; secondly, the support vector machine's parameters have been optimized using the whale optimization technique to continue increasing the model’s accuracy; eventually, a variety of approaches are dreamed up for comparison in order to confirm the success of the suggested approach. The program's findings demonstrate that the previously proposed model's accuracy is around 5% better than that of the conventional support vector machine training regimen, demonstrating the proposed model's cost effectiveness in the field of breast cancer cell proof of identity.