An Integrated Machine Learning Scheme for Predicting Mammographic Anomalies in High-Risk Individuals Using Questionnaire-Based Predictors

This study aimed to investigate the important predictors related to predicting positive mammographic findings based on questionnaire-based demographic and obstetric/gynecological parameters using the proposed integrated machine learning (ML) scheme. The scheme combines the benefits of two well-known...

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Detalles Bibliográficos
Autores principales: Sun, Cheuk-Kay, Tang, Yun-Xuan, Liu, Tzu-Chi, Lu, Chi-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9368335/
https://www.ncbi.nlm.nih.gov/pubmed/35955112
http://dx.doi.org/10.3390/ijerph19159756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9368335/
https://www.ncbi.nlm.nih.gov/pubmed/35955112
http://dx.doi.org/10.3390/ijerph19159756

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