Prediction of lactate concentrations after cardiac surgery using machine learning and deep learning approaches

BACKGROUND: Although conventional prediction models for surgical patients often ignore intraoperative time-series data, deep learning approaches are well-suited to incorporate time-varying and non-linear data with complex interactions. Blood lactate concentration is one important clinical marker tha...

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Detalles Bibliográficos
Autores principales: Kobayashi, Yuta, Peng, Yu-Chung, Yu, Evan, Bush, Brian, Jung, Youn-Hoa, Murphy, Zachary, Goeddel, Lee, Whitman, Glenn, Venkataraman, Archana, Brown, Charles H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543087/
https://www.ncbi.nlm.nih.gov/pubmed/37790131
http://dx.doi.org/10.3389/fmed.2023.1165912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543087/
https://www.ncbi.nlm.nih.gov/pubmed/37790131
http://dx.doi.org/10.3389/fmed.2023.1165912

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