<i>BRCA</i> Variations Risk Assessment in Breast Cancers Using Different Artificial Intelligence Models

<i>BRCA</i> Variations Risk Assessment in Breast Cancers Using Different Artificial Intelligence Models

Artificial intelligence provides modelling on machines by simulating the human brain using learning and decision-making abilities. Early diagnosis is highly effective in reducing mortality in cancer. This study aimed to combine cancer-associated risk factors including genetic variations and design a...

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Bibliographic Details
Main Authors: Niyazi Senturk, Gulten Tuncel, Berkcan Dogan, Lamiya Aliyeva, Mehmet Sait Dundar, Sebnem Ozemri Sag, Gamze Mocan, Sehime Gulsun Temel, Munis Dundar, Mahmut Cerkez Ergoren
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Genes
Subjects:
breast cancer
<i>BRCA1</i>
<i>BRCA2</i>
variation
artificial intelligence
translational fuzzy logic
Online Access:https://www.mdpi.com/2073-4425/12/11/1774

Internet

https://www.mdpi.com/2073-4425/12/11/1774

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