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...

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Detalles Bibliográficos
Autores principales: Asaduzzaman, Sayed, Ahmed, Md. Raihan, Rehana, Hasin, Chakraborty, Setu, Islam, Md. Shariful, Bhuiyan, Touhid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066470/
https://www.ncbi.nlm.nih.gov/pubmed/33894739
http://dx.doi.org/10.1186/s12859-021-04131-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066470/
https://www.ncbi.nlm.nih.gov/pubmed/33894739
http://dx.doi.org/10.1186/s12859-021-04131-6

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