Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact...
Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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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.
For functioning factors and subfactors, several machine learning models like Logistics Regression, Random Forest, AdaBoost, Naïve Bayes, Neural Network, kNN, C...
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Full title
Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective
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TN_cdi_doaj_primary_oai_doaj_org_article_2003a40217b94f12a928f7be48de2785
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2003a40217b94f12a928f7be48de2785
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-021-04131-6
