Machine learning using institution-specific multi-modal electronic health records improves mortality risk prediction for cardiac surgery patients

BACKGROUND: The Society of Thoracic Surgeons risk scores are widely used to assess risk of morbidity and mortality in specific cardiac surgeries but may not perform optimally in all patients. In a cohort of patients undergoing cardiac surgery, we developed a data-driven, institution-specific machine...

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Detalles Bibliográficos
Autores principales: Weiss, Aaron J., Yadaw, Arjun S., Meretzky, David L., Levin, Matthew A., Adams, David H., McCardle, Ken, Pandey, Gaurav, Iyengar, Ravi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Adult: Risk Scores: Evolving Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328834/
https://www.ncbi.nlm.nih.gov/pubmed/37425442
http://dx.doi.org/10.1016/j.xjon.2023.03.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328834/
https://www.ncbi.nlm.nih.gov/pubmed/37425442
http://dx.doi.org/10.1016/j.xjon.2023.03.010

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