Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective
Background: In this research, an astute system has been developed by using machine learning and data mining approach to predict the risk level of cervical and ovarian cancer in association to stress. Results: For functioning factors and subfactors, several machine learning models like Logistics Regr...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |