Artificial intelligence modelling to assess the risk of cardiovascular disease in oncology patients

AIMS: There are no comprehensive machine learning (ML) tools used by oncologists to assist with risk identification and referrals to cardio-oncology. This study applies ML algorithms to identify oncology patients at risk for cardiovascular disease for referrals to cardio-oncology and to generate ris...

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Detalles Bibliográficos
Autores principales: Al-Droubi, Samer S, Jahangir, Eiman, Kochendorfer, Karl M, Krive, Marianna, Laufer-Perl, Michal, Gilon, Dan, Okwuosa, Tochukwu M, Gans, Christopher P, Arnold, Joshua H, Bhaskar, Shakthi T, Yasin, Hesham A, Krive, Jacob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393891/
https://www.ncbi.nlm.nih.gov/pubmed/37538144
http://dx.doi.org/10.1093/ehjdh/ztad031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393891/
https://www.ncbi.nlm.nih.gov/pubmed/37538144
http://dx.doi.org/10.1093/ehjdh/ztad031

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