Pre Screening of Cervical Cancer Through Gradient Boosting Ensemble Learning Method
نویسندگان
چکیده
In recent years, cervical cancer is one of the most common diseases which occur in any woman regardless age. This deadliest disease since there were no symptoms shown till it diagnosed to be last stage. For women at a certain age, better have proper screening for cancer. underdeveloped nations, very difficult frequent scanning Data Mining and machine learning methodologies help widely finding important causes The proposed work describes multi-class classification approach implemented dataset using Support Vector Machine (SVM) perception method. It known that algorithms are designed solving binary problems. From heuristic approach, problem addressed as multiclass problem. A Gradient Boosting (GBM) also used implementation order increase classifier accuracy. model evaluated terms accuracy, sensitivity found this works well identifying risk factors
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ژورنال
عنوان ژورنال: Intelligent Automation and Soft Computing
سال: 2023
ISSN: ['2326-005X', '1079-8587']
DOI: https://doi.org/10.32604/iasc.2023.028599