Bio inspired feature selection and graph learning for sepsis risk stratification

Bio inspired feature selection and graph learning for sepsis risk stratification

Abstract Sepsis remains a leading cause of mortality in critical care settings, necessitating timely and accurate risk stratification. However, existing machine learning models for sepsis prediction often suffer from poor interpretability, limited generalizability across diverse patient populations,...

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Bibliographic Details
Main Authors: D. Siri, Raviteja Kocherla, Sudharshan Tumkunta, Pamula Udayaraju, Krishna Chaitanya Gogineni, Gowtham Mamidisetti, Nanditha Boddu
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Wolverine optimization algorithm
Generative pre-training-graph neural networks
Synthetic minority over-sampling technique
Support vector machines
Sepsis prediction
Online Access:https://doi.org/10.1038/s41598-025-02889-w
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https://doi.org/10.1038/s41598-025-02889-w

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