Building a Predictive Model for Gynecologic Cancer Using Levels of Data Analytics
Abstract
The four levels of data analytics techniques (descriptive, diagnostic, predictive, and perspective) were used as a methodology. We also used data mining techniques to predict Gynecologic cancer before any lab test or surgical intervention. Influencing and associating between factors are used to cover hidden relationships or unknown patterns. We focused on three types of Gynecologic cancer (cervical, endometrial, and ovarian cancer). We collected...
Paper Details
Title
Building a Predictive Model for Gynecologic Cancer Using Levels of Data Analytics
Published Date
Sep 13, 2021
Issue
74
Pages
192 - 197
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