Machine learning algorithms for predicting mortality after coronary artery bypass grafting

BACKGROUND: As the era of big data analytics unfolds, machine learning (ML) might be a promising tool for predicting clinical outcomes. This study aimed to evaluate the predictive ability of ML models for estimating mortality after coronary artery bypass grafting (CABG). MATERIALS AND METHODS: Vario...

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Detalles Bibliográficos
Autores principales: Khalaji, Amirmohammad, Behnoush, Amir Hossein, Jameie, Mana, Sharifi, Ali, Sheikhy, Ali, Fallahzadeh, Aida, Sadeghian, Saeed, Pashang, Mina, Bagheri, Jamshid, Ahmadi Tafti, Seyed Hossein, Hosseini, Kaveh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448905/
https://www.ncbi.nlm.nih.gov/pubmed/36093147
http://dx.doi.org/10.3389/fcvm.2022.977747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448905/
https://www.ncbi.nlm.nih.gov/pubmed/36093147
http://dx.doi.org/10.3389/fcvm.2022.977747

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