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BRCA Variations Risk Assessment in Breast Cancers Using Different Artificial Intelligence Models.

Genes - 9 Nov 2021

Senturk Niyazi, Tuncel Gulten, Dogan Berkcan, Aliyeva Lamiya, Dundar Mehmet Sait, Ozemri Sag Sebnem, Mocan Gamze, Temel Sehime Gulsun, Dundar Munis, Ergoren Mahmut Cerkez

Abstract excerpt

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 an artificial intelligence system for risk assessment. Data from a total of 268 breast cancer patients have been...

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Identifiers

PMID: 34828379
DOI: 10.3390/genes12111774
PMCID: PMC8623958

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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